🧬 Weekly Recap

Jun 01 - Jun 05, 2026

Missed a day? Here are the top research signals and tools from Monday to Friday, summarized in one place.

🏆 Top Signals of the Week

🗓️ Monday, Jun 01

Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein Design

🧬 Abstract

AlphaFold has transformed structural biology and spawned an ecosystem of derivative tools for protein design, binding prediction, and drug discovery. However, whether AlphaFold has learned generalizable biophysical principles versus template-based pattern matching remains unclear—a distinction critical for applications beyond its training context. Here, we perform a systematic adversarial evaluation of AlphaFold 3 using point and deletion mutations across 200 proteins. Remarkably, predicted structures remain invariant to mutations of up to 40% of residues—including deliberately destabilizing substitutions—and to deletions of 10%. Notably, this invariance holds even for experimentally validated fold-switching proteins that are known to adopt alternative conformations in response to such mutations, despite the fact that these proteins are small and monomeric—precisely the category where AlphaFold is expected to perform best. Confidence metrics prove unreliable, as they select the most accurate structure at most 35% of the time and correlate with the structural quality of the best available training set template. This suggests that AlphaFold’s uncertainty estimates reflect template availability more than biophysical reasoning. ESMFold exhibits greater, though still imperfect, mutational sensitivity, suggesting superior sequence-structure coupling. These findings indicate that AlphaFold may rely heavily on memorized templates rather than biophysical reasoning, with profound implications for the reliability of AlphaFold-based protein design, drug discovery, and modeling workflows.

Why it matters: Critical for improving fold accuracy and reducing structural uncertainty in de novo design.

🗓️ Tuesday, Jun 02

AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.

🧬 Abstract

Drug-target interactions (DTIs) are fundamental to drug discovery, development, and repositioning. However, experimental methods for DTI identification are often constrained by high costs, time demands, and scalability issues, prompting a shift toward computational approaches. This review systematically explores recent advancements in computational DTI prediction, encompassing ligand-based, target-based, network-based, machine learning (ML), deep learning (DL), and hybrid multi-omics models. Ligand-based techniques, such as QSAR and pharmacophore modeling, offer structure-activity insights but require known ligands. Target-based methods rely on molecular docking and binding site prediction, yet often suffer from incomplete or unknown protein structures. Network-based strategies utilize bipartite and heterogeneous graphs integrated with protein-protein interaction (PPI) networks to infer novel DTIs. ML and DL methods especially graph neural networks and Transformer-based models have significantly improved prediction accuracy by leveraging chemical, biological, and omics features. Notably, hybrid models that integrate genomics, transcriptomics, proteomics, and interactomics data offer a systems biology perspective, enabling context-specific and personalized predictions. Key databases, like DrugBank, ChEMBL, and Binding DB, and computational tools such as Deep Purpose, NeoDTI, and FusionDTI, exemplify the latest advances in DTI prediction. Validation strategies are discussed through contemporary case studies. While substantial progress has been made, key challenges remain, including data sparsity, model interpretability, and generalization. Looking forward, emerging trends such as federated learning, AlphaFold-based docking, and quantum simulations are poised to further transform the field. This review emphasizes the importance of interdisciplinary integration and ethical frameworks, charting a roadmap for future DTI research and its translational applications in precision medicine.

🗓️ Wednesday, Jun 03

Analysis of toxicity and mechanism of xylazine on testis with network toxicology and molecular docking strategy.

🧬 Abstract

Xylazine, an alpha-2 adrenergic agonist originally developed as a veterinary sedative, has increasingly been detected as an adulterant in illicit drug supplies, particularly in combination with opioids such as fentanyl. This emerging pattern of misuse poses significant health risks and imposes a growing social burden, underscoring the urgent need to develop a rapid and comprehensive research strategy to investigate the potential toxicological mechanisms of xylazine. The present study aimed to comprehensively assess the toxicity of xylazine on the testis and its potential molecular mechanism using network toxicology and molecular docking analyses. By utilizing ChEMBL, STITCH, GeneCards, OMIM, TTD, and Drugbank databases, we predicted 126 xylazine-associated targets related to testis injury. Through further screening with STRING and Cytoscape software, 18 core targets in the testicular injury network, including steroid receptor coactivator (SRC) and Heat shock protein 90 alpha family class A member 1 (HSP90AA1), were obtained. GO and KEGG pathway analyses conducted through the DAVID database suggested that the core targets of xylazine-induced testicular toxicity may be enriched mainly in neuroactive ligand receptor interaction pathway, cancer pathways, apoptosis signaling pathways, and calcium signaling pathways. Molecular docking via AutoDock confirmed the strong binding between xylazine and the core targets. Together, these findings suggest that xylazine may be involved in regulating cell proliferation, cell apoptosis, and inflammation, which could potentially lead to testis injury. This study provides a theoretical basis for understanding the molecular mechanism of xylazine-induced testicular toxicity. In addition, network toxicology combined with molecular docking has provided new directions for the elucidation of the toxicity and mechanism of action of novel drugs.

🗓️ Thursday, Jun 04

Identification and Characterization of New Therapeutic Candidates for Naegleria fowleri- brain-eating Amoeba: A Multi-target Approach Based on 3D-QSAR, Molecular Docking, MM-GBSA, ADMET and Molecular Dynamics.

🧬 Abstract

Background Naegleria fowleri is the most destructive and common brain-eating amoeba because it badly affects the human Central Nervous System (CNS), when amoeba in water goes up into the nose. N. fowleri also leads to PAM (primary amoebic meningoencephalitis) in humans. The lack of effective therapies for the treatment of PAM is a great drawback. The synthesis of new drug candidates for the treatment of this disease is time consuming and costly process. Aims & objectives Therefore, to reduce time and cost, already FDA-approved brain cancer drugs can be repurposed to get an effective drug for the management of Naegleria fowleri because compounds used to treat brain cancer also have antiviral activities. Methods For this purpose, an appropriate three-dimensional (3D-QSAR) model was created using the IC50 values of anti-brain cancer drugs. The QSAR (quantitative structure activity relationship) can provide suitable input for determining the structure of brain cancer drugs against Naegleria fowleri. The model validation was used as statistical parameters like r2 and q2. Results An appropriate 3D-QSAR was carried out with q2 and r2 calculated values like 0.9935 and 0.7249. The model QSAR also showed the predicted activities of various currently available and new drugs for brain cancer. The study was followed by molecular docking and MD simulation. Discussion The results of docking study revealed that the protein 6W7G shows a high binding affinity with Harmol, the most active compound. MD simulation of 6G6R protein showed an RMSD value of about 0.35 Å. Conclusion The present study indicated that the drug harmol could be an effective treatment for PAM in consideration of the 3D-QSAR, molecular docking, MD and ADME and toxicity analysis. However, further in vivo and in vitro studies are in process for the approval of this drug for the management of Naegleria fowleri.

🗓️ Friday, Jun 05

Unveiling the Potential Therapeutic Efficacy of Gold Ceria Nanohybrid as an Anticancer Agent: A Special Insight to Molecular Docking Study.

🧬 Abstract

Over the last decades, nanoformulations embody a versatile and highly promising approach in cancer therapeutics by enabling targeted, controlled, and multimodal treatment strategies. To copiously comprehend their clinical potential, further research, standardization, and toxicological assessment are essential. A green synthetic approach was employed to develop gold-core cerium oxide-shell (Au/CeO2) nanohybrid with enhanced anticancer properties. Comprehensive physicochemical characterization confirmed successful nanoparticle formation. Improved cellular uptake of Au/CeO2 nanoparticles in MDA-MB-231 triple-negative breast cancer (TNBC) cells was attributed to enhanced permeability and retention (EPR) effects and gold-mediated synergistic internalization. JC-1 staining indicated significant mitochondrial membrane depolarization following treatment, suggesting induction of apoptosis via mitochondrial dysfunction. The micrographs were also validated; scanning electron microscopy and phalloidin staining revealed disrupted cytoskeletal architecture, correlating with reduced cellular migration. Western blot analysis showed suppression of nuclear NFκB-p65 expression, upregulation of PTEN, and downregulation of pAKT (Ser473), implicating nanoparticle-mediated modulation of the NFκB/PTEN/pAKT signaling axis. Henceforth, molecular docking studies further supported these findings, revealing favorable binding of Au/CeO2 nanocargo and 5-fluorouracil to cancer-associated targets such as p53, NFκB, and kinase proteins. Ramachandran plot analyses validated the structural integrity of the selected target proteins. Finally, in vivo cytotoxicity profiling of the Au/CeO2 nanohybrid under control and LPS-treated conditions not only validates the non-toxic nature but also intimates its anti-inflammatory potency indicating a distinctive avenue for further investigations. Concomitantly, these findings highlight the potential of Au-CeO2 nanoparticles as a multifunctional nanoplatform for targeted cancer therapy through synergistic cellular uptake, apoptotic induction, and signaling pathway modulation in aggressive TNBC models.

📚 All Papers & Quick Reads

🗓️ Monday, Jun 01

• Design, Microwave-Assisted Synthesis, and Biological Evaluation of Novel 1,3-Thiazolidin-4-One Hybrids: Insights From DFT, Molecular Docking, and ADMET Profiling.: A highly efficient, environmentally benign one-pot multicomponent protocol was developed for synthesizing novel 1,3-thiazolidin-4-one derivatives via microwave irradiation of 3-pyridyl isothiocyanate, primary amines, and ethyl chloroacetate. This green…
• Integrated DFT, molecular docking, and molecular dynamics investigation of some novel 2-thiohydantoin analogues as potent CDK2 inhibitors for anticancer therapy.: Cancer progression is driven by dysregulation of cyclin-dependent kinase 2 (CDK2), a critical cell cycle regulator. This study employed an integrated computational approach combining Density Functional Theory (DFT), molecular docking, molecular dynamics…
• Kaempferol alleviates copper-induced nephrotoxicity by targeting MAPK8 and CASP3 in broiler: Insights from network toxicology, network pharmacology, molecular docking and dynamics simulation.: Copper (Cu) exposure poses significant threats to renal health yet effective mitigation strategies remain scarce. Kaempferol (Kae) is a naturally occurring flavonoid with well-documented antioxidant and anti-apoptosis activities. Nevertheless, its…
• Integrated Pharmacophore Modeling, Molecular Docking, and Molecular Dynamics Simulations Accelerate the Discovery of Novel PDE1 Inhibitors with Potential for the Treatment of Idiopathic Pulmonary Fibrosis
• Conformational dynamics and inhibition mechanism of cyclin-dependent kinase 2: Insights from molecular docking and dynamics simulations with pyrazolopyrimidine analogues of roscovitine.: Cyclin-dependent kinase 2 (CDK2) is a key regulatory protein, controlling cell cycle progression through its conformational and catalytic mechanisms. Dysregulation of this enzyme contributes to uncontrolled cell proliferation in several human malignancies….
• Computationally driven discovery of thieno-pyridine thiadiazoles: a synthesis, DFT, docking and dynamics roadmap toward multitarget antidiabetic therapy.: Diabetes mellitus remains a major metabolic disorder requiring new enzyme-targeted therapies. A series of thieno-pyridine-thiadiazole derivatives (1-10) was synthesized and structurally confirmed by 1H NMR, 13C NMR, and HREI-MS analyses. In vitro enzyme…
• Integrated LC-MS/MS profiling, network pharmacology, molecular docking, and enzyme inhibition assays reveal the antidiabetic potential of Mitragyna speciosa.: Mitragyna speciosa has gained attention as a medicinal plant with potential metabolic benefits, yet its antidiabetic mechanism remains unclear. This study characterized the metabolite profile of Mitragyna speciosa and explored its potential antidiabetic…
• Genomic Analysis and Antimicrobial Resistance Profiling of Klebsiella pneumoniae Clinical Isolates from Urinary Tract Infections in India: Prevalence of Class A β-lactamase with Molecular Docking and Simulation Insights: Urinary tract infections (UTIs) are a major global health concern, with Klebsiella pneumoniae emerging as a prominent multidrug-resistant uropathogen. The increasing prevalence of extended-spectrum β-lactamase (ESBL)–producing strains has reduced the…

🗓️ Tuesday, Jun 02

• Integrated computational evaluation of flavonoids from Artemisia campestris L. as FLT3 inhibitors: molecular docking, dynamics, ADMET, DFT, and topological (ELF, LOL) insights.: Mutations in FLT3 are found in around one third of acute myeloid leukemia (AML) cases and contribute significantly to disease progression, making this kinase a key therapeutic target. In this study, flavonoids from Artemisia campestris L. were investigated…
• ProtFormer-Site: Ultra-fast and Accurate Prediction of Protein-Protein Interaction Sites with Protein Language Model.: Identifying protein-protein interaction (PPI) sites is crucial for predicting protein function, uncovering disease mechanisms, and designing drugs. Experimental methods for PPI site identification are often costly and time-consuming, necessitating the…
• Exploring the potential targets and mechanisms of artemisinin in the treatment of diabetic kidney disease using network pharmacology and molecular docking.: Diabetic kidney disease (DKD) is a secondary glomerular disease caused by diabetes, and its incidence is increasing annually. Artemisinin is an organic compound with multiple pharmacological effects. This study aims to investigate the potential therapeutic…
• Integrated LC-MS/MS profiling, network pharmacology, molecular docking, and enzyme inhibition assays reveal the antidiabetic potential of <i>Mitragyna speciosa</i>.: Mitragyna speciosa has gained attention as a medicinal plant with potential metabolic benefits, yet its antidiabetic mechanism remains unclear. This study characterized the metabolite profile of Mitragyna speciosa and explored its potential antidiabetic…
• Molecular Dynamics Simulations: Principles, Algorithms, and Emerging Applications: Molecular dynamics (MD) simulation is a fundamental technique for resolving biomolecular structures and functions at atomic resolution. Accelerated by GPU computing and machine learning-integrated force fields (FF), modern MD simulation facilitates the…
• AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.: Drug-target interactions (DTIs) are fundamental to drug discovery, development, and repositioning. However, experimental methods for DTI identification are often constrained by high costs, time demands, and scalability issues, prompting a shift toward…
• Revisiting BACE-1: How Machine Learning and Molecular Dynamics Unveiled Potential Anti-Alzheimer’s Activity of a Cysteinyl Sulfoxide Derivative: Beta Secretase (BACE-1) is a well-validated target for Alzheimer’s therapies, but have seen attrition in drug development. Herein, we leveraged machine learning (ML), virtual screening and molecular dynamics (MD) to identify novel compounds with potential…
• Fragment-based discovery of TopBP1 inhibitors integrated with AI-driven molecular docking.: DNA topoisomerase IIβ-binding protein 1 (TopBP1) converges on multiple oncogenic pathways, e.g., Rb, p53, and PI3K/Akt, which are hallmarks of most cancer progression. However, the lack of structural studies makes the underlying mechanism of action of…

🗓️ Wednesday, Jun 03

• Immunoinformatics-based epitope prediction in MERS-CoV and docking analysis of Catharanthus roseus compounds for drug discovery.: Middle East Respiratory Syndrome Coronavirus (MERS-CoV) remains a major global health concern due to its high mortality rate and lack of effective therapeutic interventions. In the present study, an integrated immunoinformatics and molecular docking…
• Molecular Docking, Molecular Dynamics Simulation, DFT, and ADMET Prediction of 3-Carbonyl-3-Hydroxyl-Isoindolin-1-ones, Revealing Potential Inhibitors of MAO-B.: Parkinson’s Disease (PD) is the most common neurodegenerative disease worldwide. Monoamine Oxidase B (MAO-B), which is associated with oxidative stress, is a suitable target for PD treatment. This study aimed to explore the inhibitory potential of 3-…
• Novel Azo-Oxazine-Tetrazole Hybrids Conjugated with TEMPO-oxidized Cellulose Nanocrystals: Synthesis, Antibacterial Evaluation, and Molecular Docking Against Drug-resistant S. aureus.: The present investigation sought to conceptualize and fabricate a novel series of azo-oxazine-tetrazole hybrids (C1-C3) and to assess their prospective utility as antibacterial agents by integrating them into pH-responsive nanocomposites derived from…
• Exploring the Therapeutic Effects of Linarin on Ischemic Stroke: An Experimental Assessment, Network Pharmacology, and Molecular Docking.: Linarin (LIN) is a flavone glycoside that has been reported to have analgesic, anti-inflammatory, and neuroprotective activities. This study aims to investigate the protective role of LIN against IS and explore its underlying mechanisms. The…
• Analysis of toxicity and mechanism of xylazine on testis with network toxicology and molecular docking strategy.: Xylazine, an alpha-2 adrenergic agonist originally developed as a veterinary sedative, has increasingly been detected as an adulterant in illicit drug supplies, particularly in combination with opioids such as fentanyl. This emerging pattern of misuse…
• Assessment of Antimicrobial Activity, Membrane Integrity, and Oxidative Stress of Green Synthesized Silver Nanoparticles: In Vitro and Molecular Docking Studies.: Silver nanoparticles were synthesized using Acacia karroo aqueous leaves extract for the first time, as evidenced by a characteristic UV-Vis absorption peak at 424 nm. Spherical morphologies were observed using transmission electron microscopy (TEM) and…
• Integrated Molecular Docking and Gene Expression Analyses Suggest a Potential Interaction Between Diphtheria Toxin and Bcl-2 in HT-29 Colorectal Cancer Cells.: Diphtheria toxin (DT) has been reported to exhibit cytotoxic effects in several cancer models; however, the molecular mechanisms underlying its apoptotic activity remain incompletely understood. In our previous study, DT was shown to induce cytotoxic and…
• Study on the Potential Mechanism of Bisphenol A-induced Human Diabetic Nephropathy Based on Network Toxicology and Molecular Docking.: This study aims to systematically elucidate the potential molecular targets and core signaling pathways underlying bisphenol A (BPA)-induced diabetic nephropathy (DN) through the integration of network toxicology and molecular docking approaches. Using…

🗓️ Thursday, Jun 04

• Unveiling the Mechanisms of Liujunzi Decoction in COVID-19/Lung Cancer Comorbidity: A Network Pharmacology and Molecular Docking Study.: Objective This study aimed to investigate the mechanism of action of Liujunzi decoction (LJZD) in the treatment of coronavirus disease 2019 (COVID-19) combined with lung cancer based on network pharmacology and molecular docking. Methods First, we screened…
• Integrating Conformational Sampling and Siamese Learning to Predict Mutation-Induced Binding Affinity Changes in Abelson Tyrosine Kinase and Its Ligands.: Predicting the impact of mutations on protein-ligand binding affinity is crucial in drug discovery, particularly in addressing drug resistance and repurposing existing drugs. Conventional structure-based methods are often limited by their reliance on…
• Identification and Characterization of New Therapeutic Candidates for Naegleria fowleri- brain-eating Amoeba: A Multi-target Approach Based on 3D-QSAR, Molecular Docking, MM-GBSA, ADMET and Molecular Dynamics.: Background Naegleria fowleri is the most destructive and common brain-eating amoeba because it badly affects the human Central Nervous System (CNS), when amoeba in water goes up into the nose. N. fowleri also leads to PAM (primary amoebic…
• Deconvolving mutation effects on protein stability and function with disentangled protein language models: Understanding how evolutionary constraints shape protein sequences is fundamental to deciphering the molecular mechanisms underlying protein stability and function, which has broad implications in protein engineering and therapeutics development. Recent…
• Exploration of the multi-component, multi-target, and multi-pathway mechanism of Rubia yunnanensis in inhibiting breast cancer based on network pharmacology, molecular docking, and experimental validation.: Breast cancer (BC) is a malignancy associated with high morbidity and mortality. Rubia yunnanensis (RY), a traditional Chinese medicinal herb, has demonstrated inhibitory effects against various tumor types, yet its role in BC remains undefined. This study…
• Investigating the Phytochemical Constituents, Anti-Inflammatory, and Neuropharmacological Activities of Podocarpus neriifolius Leaves Through FT-IR, GC-MS, Experimental Studies, Molecular Docking, and Molecular Dynamics Simulations.: Podocarpus neriifolius, a widely distributed medicinal plant in South and Southeast Asia, has traditionally been used to treat rheumatism and joint pain. This study aimed to investigate the phytochemical profile and therapeutic potential of the ethanolic…
• New benzoxanthenone and benzanthrone derivatives from Tricholaena teneriffae L. roots: structure elucidation, α-amylase inhibitory activity and molecular docking studies.: The ethyl acetate extract of Tricholaena teneriffae L. roots exhibited significant α-amylase inhibitory activity. Phytochemical analysis of this extract led to the isolation of seven natural products: five 12H-benzo[a]xanthen-12-one derivatives (1-5) and…
• Anti-biofilm and Efflux Pump Inhibitory Function of Fe3O4@SBA-3@Curcumin Nanoparticles on drug resistant isolates of Pseudomonas aeruginosa and Molecular Docking Analysis.: Increased biofilm formation and efflux pumps activity are two major contributors to the antimicrobial resistance in clinical isolates of Pseudomonas aeruginosa (P. aeruginosa). In the present study, curcumin-functionalized Fe3O4 nanoparticles were…

🗓️ Friday, Jun 05

• Leveraging the antibacterial and antibiofilm activities of Cymbopogon flexuosus essential oil against multidrug-resistant bacteria recovered from avian colibacillosis and bovine mastitis: in vitro and molecular docking insights.: This study investigated the chemical composition and antibacterial and antibiofilm activities of Cymbopogon flexuosus essential oil (CFEO) against multidrug-resistant (MDR) bacteria within a One Health framework. The bacterial panel comprised four clinical…
• Acetylcholinesterase inhibitory activity of phthalimide derivatives as anti-alzheimer agents: QSAR, ARKA, Hybrid ARKA-RASAR, virtual screening, molecular docking and ADMET studies.: Alzheimer’s disease (AD) is a chronic neurodegenerative disorder and a leading cause of dementia worldwide, characterized by progressive cognitive and memory decline. The impaired cholinergic neurotransmission in the brain is a major pathological feature…
• Unveiling the Potential Therapeutic Efficacy of Gold Ceria Nanohybrid as an Anticancer Agent: A Special Insight to Molecular Docking Study.: Over the last decades, nanoformulations embody a versatile and highly promising approach in cancer therapeutics by enabling targeted, controlled, and multimodal treatment strategies. To copiously comprehend their clinical potential, further research,…
• Network Pharmacology and Molecular Docking-Based Investigation of Empagliflozin’s Therapeutic Potential in Chronic Kidney Disease.: Chronic kidney disease (CKD) is a progressive global health challenge. While empagliflozin, a selective SGLT2 inhibitor, is known to attenuate CKD progression through mechanisms beyond glycemic control, the precise molecular pathways remain incompletely…
• Extending structural surfaceomics to identify aberrant conformations of tumor surface proteins as potential immunotherapy targets.: The complement of tumor cell surface proteins, or “surfaceome”, is a rich source of potential immunotherapy targets. To move beyond expression-based target discovery, we previously described “structural surfaceomics,” combining crosslinking mass…
• First investigation on the chemical composition, antioxidant, antimicrobial and molecular docking studies of the essential oil obtained from Peganum harmala L. seeds at different stages of maturation.: This is the first report on the chemical composition, antimicrobial and antioxidant activities of the essential oil of Peganum harmala L. seeds harvested at different maturation stages, i.e. unripe, semi-ripe, and ripe. Essential oils were extracted by…
• The Molecular Targets and Mechanisms of Mume Fructus in the Treatment of Radiation Induced Oral Mucositis Based on Network Pharmacology and Molecular Docking: Abstract Purpose The network pharmacology analysis and molecular docking were performed to explore the molecular targets and the pharmacological mechanisms of Mume Fructus (MF) in the treatment of radiation induced oral mucositis (RIOM). Methods Active…
• Design, synthesis, and biological evaluation of novel imidazole-morpholinone hybrids as broad-spectrum antimicrobial agents: molecular docking, DFT, and ADMET studies.: A novel series of five imidazole-morpholinone hybrid compounds (10a-e) was designed, synthesised, and evaluated as broad-spectrum antimicrobial agents. The target molecules integrate a 5-formyl-1-butylimidazole core, a (3-oxomorpholin-4-yl)phenyl…

🛠️ Tools & Datasets

• 🛠 Tool: MMseqs2 - Fast and sensitive sequence search and clustering suite.
• 🛠 Tool: HHSuite - Remote homology detection with HMM-HMM comparison.
• 💾 Dataset: UniRef - Clustered protein sequence sets for fast similarity searches.
• 💾 Dataset: BFD - Big Fantastic Database for deep learning protein modeling.
• 🛠 Tool: MAFFT - Multiple sequence alignment with high speed and accuracy.
• 💾 Dataset: MGnify - Metagenomics resource for microbiome sequence data.
• 🛠 Tool: Clustal Omega - Scalable multiple sequence alignment for protein families.
• 💾 Dataset: PDBbind - Binding affinity data with 3D structures of protein-ligand complexes.
• 🛠 Tool: Rosetta - Protein modeling, docking, and design suite.
• 💾 Dataset: BioLiP - Verified biologically relevant ligand-protein interactions.
• 🛠 Tool: AutoDock Vina - Molecular docking for ligand screening and scoring.
• 💾 Dataset: SIFTS - Residue-level mapping between PDB, UniProt, and other resources.

🤖 AI in Research Recap

• Vertu’s Alphafold foldable phone has launched, and you’ve got to see its obnoxious price - MSN: Vertu’s Alphafold foldable phone has launched, and you’ve got to see its obnoxious price    MSN
• Commentary: How AI is improving lives - bendbulletin.com: Commentary: How AI is improving lives    bendbulletin.com
• Vertu AlphaFold Marries AI, Satellite Connectivity, and 24-Hour Human Concierge Support - Qoo Media: Vertu AlphaFold Marries AI, Satellite Connectivity, and 24-Hour Human Concierge Support    Qoo Media
• Vertu AlphaFold Pairs Luxury Materials With AI Concierge Power, Yet Leaves Hardware Gaps - Qoo Media: Vertu AlphaFold Pairs Luxury Materials With AI Concierge Power, Yet Leaves Hardware Gaps    Qoo Media
• Deep Principle Launches MPA, a ‘Materials AlphaFold’ Achieving SOTA on 40 Industrial Tasks - Pandaily: Deep Principle Launches MPA, a ‘Materials AlphaFold’ Achieving SOTA on 40 Industrial Tasks    Pandaily
• High Q Technologies and Creative Biostructure Partner to Deploy Quantum-Enabled EPR Spectroscopy - Quantum Computing Report: High Q Technologies and Creative Biostructure Partner to Deploy Quantum-Enabled EPR Spectroscopy    Quantum Computing Report
• Cutting thinner, seeing deeper: The power of cryo-PFIB - Van Andel Institute: Cutting thinner, seeing deeper: The power of cryo-PFIB    Van Andel Institute
• Vertu AlphaFold Unveils Luxurious AI-Powered Foldable From $6,880 to Staggering $46,880 - freeyork: Vertu AlphaFold Unveils Luxurious AI-Powered Foldable From $6,880 to Staggering $46,880    freeyork
• Can better training data fix AI antibody design? - Drug Discovery News: Can better training data fix AI antibody design?    Drug Discovery News
• Can AI Cure Cancer? - Slow Boring | Matthew Yglesias | Substack: Can AI Cure Cancer?    Slow Boring | Matthew Yglesias | Substack

🏢 Industry & Real-World Applications

• Molecular Partners Holds Presentations at ASCO and SNMMI 2026 on DLL3-Targeting Radio-DARPin MP0712, Now Dosing Patients in Phase 1 - The Manila Times: Molecular Partners Holds Presentations at ASCO and SNMMI 2026 on DLL3-Targeting Radio-DARPin MP0712, Now Dosing Patients in Phase 1    The Manila Times
• Why did WOK stock skyrocket nearly 300% in just 2 days? - MSN: Why did WOK stock skyrocket nearly 300% in just 2 days?    MSN
• Rapid Coomassie Stains Market Forecast Points Higher Toward 2035, Driven by Biomanufacturing QC Expansion - IndexBox: Rapid Coomassie Stains Market Forecast Points Higher Toward 2035, Driven by Biomanufacturing QC Expansion    IndexBox
• Pfizer Inks Up to $10.5B Innovent Biotech Licensing Deal - Gotrade: Pfizer Inks Up to $10.5B Innovent Biotech Licensing Deal    Gotrade
• Fierce Pharma Asia—More China biotech hawkishness; Pfizer’s $10B Innovent deal; Astellas’ roadmap - Fierce Pharma: Fierce Pharma Asia—More China biotech hawkishness; Pfizer’s $10B Innovent deal; Astellas’ roadmap    Fierce Pharma
• China’s Innovent Biologics signs US$10.5b Pfizer deal for 12 cancer drug trials - South China Morning Post: China’s Innovent Biologics signs US$10.5b Pfizer deal for 12 cancer drug trials    South China Morning Post
• Innovent Biologics, Pfizer strike $10.5 bln cancer drug deal amid China biotech boom - Reuters: Innovent Biologics, Pfizer strike $10.5 bln cancer drug deal amid China biotech boom    Reuters
• Biotech IPO market strengthens in 2026, but quality bar remains high - BioXconomy: Biotech IPO market strengthens in 2026, but quality bar remains high    BioXconomy
• Biotech & Pharma Stocks 2026: 50+ Companies - Stock Titan: Biotech & Pharma Stocks 2026: 50+ Companies    Stock Titan
• Research Grade Proteins Market Size, Share | CAGR of 12.4% - Market.us Media: Research Grade Proteins Market Size, Share | CAGR of 12.4%    Market.us Media
• No VCs allowed: This biotech startup is funded solely by retail investors - Morning Brew: No VCs allowed: This biotech startup is funded solely by retail investors    Morning Brew
• Towards mRNA therapeutics 2.0 - Nature: Towards mRNA therapeutics 2.0    Nature
• US lawmakers reveal policy to curb collaboration with Chinese biotech - Pharmaceutical Technology: US lawmakers reveal policy to curb collaboration with Chinese biotech    Pharmaceutical Technology
• Lundbeck partners with Cradle for AI-based protein design - medwatch.com: Lundbeck partners with Cradle for AI-based protein design    medwatch.com
• Lundbeck Partners with Cradle to Discover and Optimize Brain Disorder Treatments - PA Media: Lundbeck Partners with Cradle to Discover and Optimize Brain Disorder Treatments    PA Media
• Research Grade Proteins Market Size, Share | CAGR of 12.4% - media.market.us: Research Grade Proteins Market Size, Share | CAGR of 12.4%    media.market.us
• China: The Innovation Factor - DCAT Value Chain Insights: China: The Innovation Factor    DCAT Value Chain Insights
• /C O R R E C T I O N – Oberland Biotech GmbH/ - PR Newswire: /C O R R E C T I O N – Oberland Biotech GmbH/    PR Newswire
• House bill aims to crack down on China biotech deals - BioPharma Dive: House bill aims to crack down on China biotech deals    BioPharma Dive
• US lawmakers reveal policy to curb collaboration with Chinese biotech - Yahoo Finance: US lawmakers reveal policy to curb collaboration with Chinese biotech    Yahoo Finance

💼 Jobs & Opportunities

• MSc for Brain Tumor Immunology - Academic Positions (Academic Positions)
• PhD for Tumor Immunology and Immunotherapy - Academic Positions (Academic Positions)
• A framework for building a synthetic cell from the SynCell Asia Initiative - Nature (Nature Careers)
• Stress granules restrain ferroptosis by sequestering ferritin - Nature (Nature Careers)
• Systems Biology jobs at Umeå University - Academic Positions (Academic Positions)
• Doctor-Assistant (Full-Time Postdoctoral Researcher, AAP) in Biotech Data Science - Academic Positions (Academic Positions)
• Peer Bork (1963–2026) - Nature (Nature Careers)
• Metabolic feedbacks drive population dynamics and can lead to oscillations among leaf bacteria - Nature (Nature Careers)
• Job Application for Associate Director, Biomarker Development at Apogee Therapeutics - Greenhouse (Greenhouse Boards)
• Job Application for Display Manager (gn) at The Quality Group - Greenhouse (Greenhouse Boards)

📅 Events

• Protein Design Hub (LinkedIn Group)
• Structural Biology Events

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