🧬 Weekly Recap

Mar 16 - Mar 20, 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, Mar 16

Advantages and Limitations of AlphaFold in Structural Biology: Insights from Recent Studies.

🧬 Abstract

Over the past three years, AlphaFold-a deep learning-based protein structure prediction system-has transformed structural biology by providing near-experimental accuracy models directly from amino acid sequences. This narrative review synthesizes applications reported in the 2022-2025 literature across human, microbial, and viral systems, drawing on peer-reviewed studies as our data source. Representative examples include modeling of SARS-CoV-2 spike and nucleocapsid proteins in virology, assisting cryo-EM interpretation of bacterial ribosomal and membrane-protein complexes in microbiology, and refining conformational hypotheses for human GPCRs in biomedicine. Across these cases, AlphaFold predictions have complemented experimental workflows by accelerating hypothesis generation, improving model fitting within ambiguous density regions (poorly resolved areas of cryo-EM maps), and guiding mutagenesis strategies to probe dynamic conformational states. We also summarize recent method extensions: AlphaFold-Multimer improves multi-chain complex assembly prediction, while molecular dynamics (MD) simulations augment AlphaFold’s static models by sampling conformational flexibility and testing stability. Despite these advances, important limitations remain-particularly for intrinsically disordered regions, protein-ligand and protein-cofactor interactions, and very large or transient assemblies-and current community benchmarks indicate that approximately one-third of residues may lack atomistic precision, underscoring uncertainty in flexible or modified segments. Framed within a clear chronological window and evidence base, our analysis highlights both the practical impact and the remaining challenges of integrating AlphaFold with experiment, outlining priorities where further methodological innovation and orthogonal validation are needed.

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

🗓️ Tuesday, Mar 17

Molecular embedding-based algorithm selection in protein-ligand docking.

🧬 Abstract

Selecting an effective docking algorithm is highly context-dependent, and no single method performs reliably across structural, chemical, and protocol regimes. MolAS is a lightweight algorithm-selection model that predicts per-algorithm performance from pretrained protein and ligand embeddings using attentional pooling and a shallow residual decoder. With hundreds to a few thousand labelled complexes, MolAS achieves up to a 15 percentage-point absolute improvement over the single best solver (SBS) and closes 17-66% of the virtual best solver (VBS)-SBS gap across five docking benchmarks. Analyses of selection frequencies, margin-conditioned reliability, and benchmark-level oracle structure indicate that MolAS is most effective when the workflow-defined oracle landscape has low winner entropy and a reasonably separable top-solver region, but degrades under protocol mismatch that shifts solver rankings and changes the induced labels. These results suggest that, in the evaluated regime, robustness is limited less by representational capacity than by workflow- and protocol-induced instability in solver hierarchies, positioning MolAS as an in-domain selector for fixed pipelines and as a diagnostic tool for assessing when docking algorithm selection is well-posed. Scientific Contribution: MolAS introduces a controlled, embedding-based selector that reduces dependence on heavy graph encoders, enabling a cleaner separation between representational choices and workflow-defined label structure. A cross-benchmark and cross-protocol analysis links selection success and failure to oracle entropy, near-ties among top solvers, and protocol-induced ranking shifts, providing an evidence-backed diagnostic account of when docking algorithm selection is likely to yield gains. The findings differentiate this work from prior docking AS studies that report in-domain improvements under a single fixed workflow by explicitly characterising protocol dependence and motivating protocol-aware modelling as a route to stronger generalisation.

Why it matters: Essential ground-truth data for validating next-gen foundation models like Boltz or Chai.

🗓️ Wednesday, Mar 18

Molecular Dynamics-Guided Design and Chemoproteomic Profiling of Covalent Kinase Activity Probes.

🧬 Abstract

Covalent small molecule probes can be powerful tools to interrogate protein activity state in native cellular environments. The design of familywide activity probes requires an understanding of the molecular sources of conserved and target-specific small molecule targeting across protein family members. Here, we developed and applied a multifaceted docking and molecular dynamics (MD) simulation pipeline to design cell-permeable covalent kinase activity probes from a set of hinge-binding pharmacophores. This computationally-guided approach yielded a series of cell-active indazole sulfonylfluorides that target a conserved catalytic lysine in active protein kinases. Chemoproteomic profiling of a lead probe, K60P, confirmed engagement of more than 100 unique native kinases across several cancer cell lines. Competitive profiling identified kinases as the predominant class of specific targets for K60P but also highlighted significant nonkinase targets for K60P and the established covalent kinase probe, XO44, underscoring the utility of native kinase profiling in situ to identify relevant targets of small molecule kinase inhibitors in cells. Dose-, time- and site-specific proteomic mapping with a known target kinase, ABL1, coupled with a Bayesian Metropolis Monte Carlo (BMMC) kinetic modeling method showed that key descriptors of covalent probe efficiency could be predicted with straightforward dose- and time-dependent covalent engagement studies and highlighted kinact/KI as a key variable to optimize for specific and broad kinase engagement. Finally, focused molecular dynamics simulations revealed that K60P, as well as the comparator probe XO44, preferentially engage with target kinases in their active, DFG-in conformations, which is driven by increasing population of reaction-ready small molecule conformation. These results together establish a computational and kinetic modeling framework for designing covalent activity probes and highlight the balance of target selectivity and kinetic efficiency as a key factor in determining their proteome-wide reactivity.

🗓️ Thursday, Mar 19

Design, Synthesis, Molecular Dynamics Simulations, and Biological Evaluation of PB2 Inhibitors as Anti-Influenza A Virus Agent.

🧬 Abstract

Influenza A virus continues to pose a significant global health threat, causing seasonal epidemics and occasional pandemics. Viral transcription and replication rely on the heterotrimeric polymerase complex where the PB2 subunit initiates RNA synthesis through binding to the host mRNA cap structure. In this study, we began with a structure-activity relationship analysis of the pioneering PB2 inhibitor VX-787. Through computer-aided drug design, combined with considerations of molecular docking scores, ADMET property predictions, and a prodrug esterification strategy, we ultimately designed eight novel compounds. Cytopathic effect assays demonstrated that all compounds exhibited superior inhibitory activity against both H1N1 and H3N2 strains compared to oseltamivir acid. In particular, compounds 11 and 15 displayed nanomolar-level activity against H1N1, while compound 18 showed activity against H3N2 superior to that of VX-787. These findings propose a rational design strategy that may offer new avenues for addressing the resistance and metabolic limitations associated with VX-787 and hold potential for advancing the development of next-generation PB2-targeted anti-influenza therapeutics.

🗓️ Friday, Mar 20

Design, Synthesis, Molecular Docking, and Biological Evaluation of Tanshinone IIA Derivatives as Antibreast Cancer Agents.

🧬 Abstract

In order to explore the effect of amino introduction of Tanshinone IIA on the antitumor activity, 18 novel N-substituted tanshinone IIA derivatives were synthesized and investigated for their anti-proliferative activity in a panel of cancer cell lines. The biological evaluation of antiproliferative assay led to the discovery of compound TA-16 with a highly potent cytotoxic effect using cervical, colon, liver and breast cancer cells, with IC50 = 1.25 µM against MCF-7 cell. The mechanistic studies indicated the ability of TA-16 in inducing apoptosis of MCF-7 cells through mitochondrial pathway and arresting the cell cycle at the G0/G1 phase. It exhibited significant anti-metastasis properties by inhibiting the expression of MMP-9 and MMP-2. Moreover, the cytotoxic study of compound TA-16 on the MCF-10A, a normal human breast epithelial cell line, further highlighted the potential of compound TA-16 as an anticancer agent for breast cancer with a selectivity index of 4.95. Molecular docking analyses confirmed the binding interaction between compound TA-16 and its target proteins, validating its mechanism of action and potential as a therapeutic agent for breast cancer.

📚 All Papers & Quick Reads

🗓️ Monday, Mar 16

• In silico analysis of <i>Anacardium occidentale</i> phytochemicals: pharmacokinetics, molecular docking, and dynamics of <i>Cryptococcus neoformans</i> enzymes.: This study evaluated in silico the antifungal potential of phytochemicals from the leaves of Anacardium occidentale (cashew tree) against key enzymatic targets: farnesyltransferase (CnFTase), beta-carbonic anhydrase (β-CA), and adenylosuccinate synthetase…
• Molecular Docking and Dynamics-Based Repurposing of Thalidomide and Lenalidomide for GSK-3β Inhibition in AD.: Glycogen synthase kinase-3 beta (GSK-3β) is a key serine/threonine protein kinase involved in several neural processes. Its overactivity contributes to the pathogenesis of Alzheimer’s disease (AD) through tau protein hyperphosphorylation and amyloid-beta…
• Unraveling the mechanism of curcumin in coronary slow flow phenomenon through network pharmacology and molecular docking.: The coronary slow flow phenomenon (CSFP) is associated with an increased risk of adverse cardiovascular events, yet standardized treatment is lacking. Curcumin, a natural compound, has shown potential in alleviating angina and improving metabolic risk…
• In silico characterization and molecular docking of the MIOX gene in Nile tilapia (Oreochromis niloticus).: Myo-inositol oxygenase (MIOX) plays an essential role in metabolic pathways and cell processes, controls oxidative stress response mechanisms, and balances osmotic stress in aquatic organisms. Molecular docking and structural analysis of the MIOX gene have…
• A Computational Strategy to Identify Hub Genes in Pathway Analysis of Gamma Tocotrienol-treated MCF-7 Cells and Molecular Docking Study Using Selected Phytochemicals as Therapeutic Agents.: Breast cancer is a highly prevalent malignancy in women, necessitating the discovery of novel therapeutic approaches. Researchers have focused on various medicinal plants for their therapeutic benefits, including anti-carcinogenic properties. These plants…
• Phytochemical profiling and system-level mechanistic insights into the anti-arthritic activity of Barleria cristata: Evidence from in-silico network pharmacology, molecular docking, in-vitro and in-vivo studies.: Barleria cristata L. is traditionally used in Indian ethnomedicine to treat inflammation, joint pain, and arthritis. Although it is widely used in traditional medicine to manage inflammatory conditions, scientific validation of its anti-arthritic potential…
• GeoPMB: An Interface-Aware Geometric Deep Learning Framework for Peptide-MHCI Binding Prediction with Evolutionary Insight.: The binding of peptides to class I major histocompatibility complex (MHCI) molecules is central to adaptive immunity, making the identification of immunogenic peptides a critical step in developing effective vaccines and immunotherapies against bacterial,…
• Whey protein isolate-based amphiphilic surfactin complexes: Structural, antioxidant, and interfacial properties, and molecular docking analysis.: Whey protein isolate and surfactin (WPI-S) complexes were fabricated via non-covalent interactions. Surfactin induced partial unfolding of WPI through hydrogen bonding, electrostatic, and hydrophobic interactions, as evidenced by their structural analysis….

🗓️ Tuesday, Mar 17

• Protein language model-guided generative design of affinity peptides for chromatographic purification of lentiviral vectors.: Lentiviral vectors (LVs) have emerged as the most promising tool for cell and gene therapy. However, LVs are very fragile and sensitive to shear stress, buffer pH and salt concentration, resulting in serious hurdles in downstream processing. To address…
• De Novo Drug Design, Synthesis, Biological Evaluation, and Structural Examination of Novel Coumarin-Based Pyrimidine Co-Drugs Accompanied by Molecular Docking and DFT Studies.: In this research, we synthesized novel coumarin-pyrimidine hybrid molecules and studied their antioxidant properties by using the DPPH radical scavenging assay. Different computational techniques (3DQSAR, pharmacophore modeling, molecular docking, MMGBSA,…
• Mechanisms of topical Mahoniae Caulis against acute mastitis: Integrating SMR, network pharmacology, molecular docking, and experimental validation.: Mahoniae Caulis (MC) has long been documented in Chinese medical texts for the treatment of “Ru Yong” (acute mastitis). Previous research has affirmed its effectiveness in addressing breast inflammatory conditions. However, the underlying mechanisms by…
• Computer-aided structural modeling and drug discovery for G-protein-coupled receptors in the age of artificial intelligence.: G-protein-coupled receptors (GPCRs) are a large family of membrane proteins that mediate cellular responses to diverse stimuli and serve as targets for ∼35 % of Food and Drug Administration-approved drugs. Their structural complexity, conformational…
• Antiproliferative activity, phytochemistry, network pharmacology, molecular docking and gene expression analysis of Maerua edulis extracts against human cervical cancer cell line.: Maerua edulis (Gilg & Gilg-Ben.) DeWolf) was traditionally used in the treatment and/ or management of various diseases, including cancer. However, limited studies have evaluated whether M. edulis can suppress the proliferation of cervical cancer cells,…
• Uncovering the Potential Mechanisms of Ergothioneine in Neuroinflammation Through Network Pharmacology, Molecular Docking, Molecular Dynamics Simulation, and In Vitro Validation
• Vitamin D Modulates Humoral Responses to SARS-CoV-2 Vaccination in Autoimmune Thyroiditis: An Endocrine–Immune Perspective Supported by Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulations
• Computational Innovations in Cancer Research and How Computing is Transforming Drug Discovery and Development: A Review.: Cancer is a major global health concern, causing millions of deaths each year due to the uncontrolled growth and spread of abnormal cells. Despite advances in diagnosis and treatment, its complexity and therapy resistance keep it a leading cause of…

🗓️ Wednesday, Mar 18

• Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulations to Elucidate the Potential Mechanism of Ermiao San in Osteoarthritis.: This study aims to identify the active components and molecular mechanisms of Ermiao San (EMS) in the treatment of osteoarthritis (OA) through network pharmacology, molecular docking, and molecular dynamics simulations. EMS compounds and their targets were…
• Thymoquinone regulates osteosarcoma cell proliferation through the P53 signaling pathway: A network pharmacology and molecular docking based health technology study.: BackgroundOsteosarcoma (OS) has long presented a formidable challenge to human health and well-being. While traditional treatments, such as clinical chemotherapy and surgical intervention, have shown efficacy, they are frequently accompanied by adverse…
• Molecular Dynamics-Guided Design and Chemoproteomic Profiling of Covalent Kinase Activity Probes.: Covalent small molecule probes can be powerful tools to interrogate protein activity state in native cellular environments. The design of familywide activity probes requires an understanding of the molecular sources of conserved and target-specific small…
• Machine learning-driven drug discovery for the management of TNBC: focus on IDO1 and TDO targets.: Tryptophan catabolism through the kynurenine pathway produces the oncometabolite kynurenine, which is strongly implicated in cancers such as triple-negative breast cancer (TNBC). The enzymes indoleamine 2,3-dioxygenase (IDO1) and tryptophan 2,3-dioxygenase…
• Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs: Generalizing neural surrogate models across different PDE parameters remains difficult because changes in PDE coefficients often make learning harder and optimization less stable. The problem becomes even more severe when the model must also predict beyond…
• Mechanistic study on the peripheral cannabinoid-1 receptor blockers based on the tricyclic scaffolds.: Cannabinoid-1 receptor (CB1R) is one of the promising targets for treating various diseases, various antagonists, agonists and reverse agonists targeting CB1R have been synthesized and investigated for clinical use. In this work, we used molecular docking…
• Exploring the potential mechanisms of the Prunus mume-Prunella vulgaris herb pair in treating endometrial polyps based on network pharmacology and molecular docking.
• From structure to design: experimental and AI-driven approaches in receptor-binding protein engineering for reprogramming phage host range.

🗓️ Thursday, Mar 19

• Spectroscopic and molecular docking studies of coumarin derivatives with HSA: bilirubin displacement and theranostic potential.: Human Serum Albumin (HSA) plays a pivotal role in the transport, distribution, and bioavailability of pharmaceutical agents. This study investigates the interaction between HSA and a coumarin derivative,…
• Exploring the Anti-Inflammatory Mechanism of Boletus edulis Based on UPLC-MS/MS Combined With Network Pharmacology, Molecular Docking, and Experimental Validation.: To explore the material basis and mechanism of the anti-inflammatory compounds in Boletus edulis, its ethyl acetate extract was analyzed by UPLC-MS/MS. Moreover, the potential anti-inflammatory mechanism of B. edulis was investigated based on network…
• Rational design and synthesis of Co(ii), Ni(ii) and Cu(ii) complexes bearing 1,2,4-triazole scaffold for biological applications.: The chemistry of 1,2,4-triazole-incorporating compounds and their metal complexes has attracted widespread attention due to their potential therapeutic activities. Therefore, this paper presents the synthesis, characterization, biological studies, and…
• Combined Analysis of Network Toxicology and Multiomics Revealed the Potential Mechanism of Mancozeb-Induced Hepatotoxicity in Mice Offspring.: Mancozeb (MCZ), a broad-spectrum dithiocarbamate fungicide, raises significant concerns regarding its potential hepatotoxicity. Despite their extensive agricultural application, the mechanisms underlying MCZ-induced intergenerational liver injury remain…
• Uncovering the therapeutic mechanism of Baicalein in diabetic retinopathy through ferroptosis regulation.: Background: Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults. Ferroptosis, an iron-dependent form of programmed cell death, contributes to DR pathogenesis. Baicalein, a natural flavonoid, exhibits antioxidant and…
• Design, Synthesis, Molecular Dynamics Simulations, and Biological Evaluation of PB2 Inhibitors as Anti-Influenza A Virus Agent.: Influenza A virus continues to pose a significant global health threat, causing seasonal epidemics and occasional pandemics. Viral transcription and replication rely on the heterotrimeric polymerase complex where the PB2 subunit initiates RNA synthesis…
• Targeting Protein Tyrosine Phosphatase 1B (PTP1B) to Improve Insulin Sensitivity Using Indole-Fused Glycyrrhetinic Acid Conjugates with Amino Acids.: Protein Tyrosine Phosphatase 1B (PTP1B) is a crucial enzyme that significantly modulates insulin and leptin signaling, making it a highly promising target for the treatment of type 2 diabetes (T2D). We previously reported the synthesis and inhibitory…
• Shaping opioid conversion education in the specialist palliative care setting: a pilot study of staff experiences.: An essential skill for working within specialist palliative care is an ability to convert opioid medications. The provision of education to support this skill is not consistent despite national guidance to seek specialist advice when converting opioids….

🗓️ Friday, Mar 20

• Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches.: Gastric cancer (GC) risk is shaped by environmental exposures such as benzo[a]pyrene (BaP). Here, we systematically identified BaP-toxicological targets and dissected their contribution to GC development. BaP-related targets were independently predicted…
• Evaluation of drug-excipient compatibility of ibuprofen with eggshell-derived calcium citrate using FTIR, DSC, and molecular docking studies.: Eggshells hold long-lasting nutritional and medicinal relevance in African folklore, often administered traditionally in its crushed or powdered form to ameliorate bone issues, treat calcium deficiency, and promote well-being. However, not much has been…
• Design, Synthesis, Molecular Docking, and Biological Evaluation of Tanshinone IIA Derivatives as Antibreast Cancer Agents.: In order to explore the effect of amino introduction of Tanshinone IIA on the antitumor activity, 18 novel N-substituted tanshinone IIA derivatives were synthesized and investigated for their anti-proliferative activity in a panel of cancer cell lines. The…
• Developing an innovative chimeric multi-epitope subunit vaccine against Staphylococcus intermedius using an immunoinformatics strategy via Multi-omics approaches.: Streptococcus intermedius is a major human pathogen associated with invasive diseases such as meningitis and endocarditis. These infections may lead to inflammation, fever, and cardiac damage. At present, no effective vaccine exists for prevention. This…
• Multitarget Anticoccidial Activity of Olive Seed Phenolic Compounds Against Eimeria spp.: Insights from Molecular Docking and In Vitro Validation.
• Port placement and patient-specific docking strategies for robotic hysterectomy with the Hugo™ RAS system: an international Delphi consensus.: Robotic-assisted hysterectomy is increasingly performed using modular platforms such as the Hugo™ roboticassisted surgery (RAS) system, but optimal or personalised docking strategies remain undefined. To establish expert consensus on port placement and…
• Optogenetic manipulation of estrogen receptor signaling to improve estrogen deficiency.: Estrogen receptor (ER)-mediated genomic actions are crucial for maintaining various physiological functions, and their dysfunction is associated with numerous human diseases. Traditional estrogen replacement therapy (ERT) is commonly used to manage…
• Systemic immunometabolic profiling classifies cisplatin sensitivity states using interpretable machine learning.: Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma, yet practical systemic diagnostics for cisplatin sensitivity are lacking. We developed ImmunoMetabolic Profiling Analysis and Classification Tool…

🛠️ Tools & Datasets

• 🛠 Tool: HHSuite - Remote homology detection with HMM-HMM comparison.
• 🛠 Tool: MAFFT - Multiple sequence alignment with high speed and accuracy.
• 💾 Dataset: AlphaFold Structure Database - 200M+ predicted structures from DeepMind/EMBL-EBI.
• 💾 Dataset: Uniprot Knowledgebase - The world’s most comprehensive resource for protein sequence and annotation.
• 🛠 Tool: Clustal Omega - Scalable multiple sequence alignment for protein families.
• 💾 Dataset: PDB-REDO - Optimized protein structure database with refined models.
• 🛠 Tool: Rosetta - Protein modeling, docking, and design suite.
• 💾 Dataset: CATH - Hierarchical protein domain classification for structure and function.
• 🛠 Tool: AutoDock Vina - Molecular docking for ligand screening and scoring.
• 💾 Dataset: SCOPe - Curated structural classification of proteins for fold analysis.
• 🛠 Tool: GROMACS - High-performance molecular dynamics engine.
• 💾 Dataset: Pfam - Protein families database with curated multiple sequence alignments.

🤖 AI in Research Recap

• Man uses ChatGPT and AlphaFold to build DIY mRNA cancer vaccine, saves dog - MSN: Man uses ChatGPT and AlphaFold to build DIY mRNA cancer vaccine, saves dog    MSN
• ChatGPT and AlphaFold help techie develop DIY mRNA cancer vaccine, saving his dog - The Financial Express: ChatGPT and AlphaFold help techie develop DIY mRNA cancer vaccine, saving his dog    The Financial Express
• Australian techie uses ChatGPT, AlphaFold to create personalised cancer vaccine for his ill dog - Moneycontrol.com: Australian techie uses ChatGPT, AlphaFold to create personalised cancer vaccine for his ill dog    Moneycontrol.com
• A tech entrepreneur used AI to help create the first-ever bespoke cancer vaccine for a dog - Fortune: A tech entrepreneur used AI to help create the first-ever bespoke cancer vaccine for a dog    Fortune
• AI consultant uses ChatGPT, AlphaFold, and Grok to find a possible treatment for his dog’s cancer - the-decoder.com: AI consultant uses ChatGPT, AlphaFold, and Grok to find a possible treatment for his dog’s cancer    the-decoder.com
• Australian Tech Founder Uses ChatGPT and AlphaFold to Design Dog Cancer Vaccine — Tumours Shrink by 75% - International Business Times UK: Australian Tech Founder Uses ChatGPT and AlphaFold to Design Dog Cancer Vaccine — Tumours Shrink by 75%    International Business Times UK
• AlphaFold Database Expands with Protein Complex Insights - Mirage News: AlphaFold Database Expands with Protein Complex Insights    Mirage News
• AI tools helped him do what doctors couldn’t: Australian techie uses ChatGPT & Google’s Alphafold to develo… - Bhaskar English: AI tools helped him do what doctors couldn’t: Australian techie uses ChatGPT & Google’s Alphafold to develo…    Bhaskar English
• 1.7 Million Protein Complexes Added to AlphaFold Database - Labcompare: 1.7 Million Protein Complexes Added to AlphaFold Database    Labcompare
• Phys.org, Medical Xpress, Tech Xplore - Science X: Phys.org, Medical Xpress, Tech Xplore    Science X
• Millions of AI-Predicted Protein Complex Structures Released Through AlphaFold Database Expansion - geneonline.com: Millions of AI-Predicted Protein Complex Structures Released Through AlphaFold Database Expansion    geneonline.com
• Millions of New Protein Complexes in AlphaFold Database Reveal Insights into Protein Interactions - Bioengineer.org: Millions of New Protein Complexes in AlphaFold Database Reveal Insights into Protein Interactions    Bioengineer.org
• Millions of protein complexes added to AlphaFold Database shed light on how proteins interact - EurekAlert!: Millions of protein complexes added to AlphaFold Database shed light on how proteins interact    EurekAlert!
• Refeyn launches MyMass instrument to simplify sample quality assessment for structural biology - News-Medical: Refeyn launches MyMass instrument to simplify sample quality assessment for structural biology    News-Medical
• Millions Of Protein Complexes Added To AlphaFold Database Shed Light On How Proteins Interact - astrobiology.com: Millions Of Protein Complexes Added To AlphaFold Database Shed Light On How Proteins Interact    astrobiology.com
• Refeyn launches MyMass instrument to simplify sample quality assessment for structural biology - Toronto Star: Refeyn launches MyMass instrument to simplify sample quality assessment for structural biology    Toronto Star
• ChatGPT and AlphaFold Help Design Personalized Vaccine for Dog with Cancer - the-scientist.com: ChatGPT and AlphaFold Help Design Personalized Vaccine for Dog with Cancer    the-scientist.com

🏢 Industry & Real-World Applications

• Recognizing the Right Time to Start Biologics in HS - Dermatology Times: Recognizing the Right Time to Start Biologics in HS    Dermatology Times
• Voyager Acquisition Corp. Secures Shareholder Approval for VERAXA Biotech Merger - citybiz: Voyager Acquisition Corp. Secures Shareholder Approval for VERAXA Biotech Merger    citybiz
• Cancer drug developer Theriva inks SYN-020 deal up to $38M - Stock Titan: Cancer drug developer Theriva inks SYN-020 deal up to $38M    Stock Titan
• Six biotechs to know in Barcelona - Labiotech.eu: Six biotechs to know in Barcelona    Labiotech.eu
• Layoff Tracker: Vistagen, Evotec, Reckitt Benckiser Downsize, Collectively Affecting Hundreds - BioSpace: Layoff Tracker: Vistagen, Evotec, Reckitt Benckiser Downsize, Collectively Affecting Hundreds    BioSpace
• Decoy Therapeutics Enters Strategic Partnership with Quantori to Deploy Google Cloud-native Integrated AI-Driven Peptide Design and Molecular Simulation Platform - marketscreener.com: Decoy Therapeutics Enters Strategic Partnership with Quantori to Deploy Google Cloud-native Integrated AI-Driven Peptide Design and Molecular Simulation Platform    marketscreener.com
• When Ambition Meets Ambiguity: The Trends and Sentiments Shaping Biotech in 2026 - Pharmaceutical Executive: When Ambition Meets Ambiguity: The Trends and Sentiments Shaping Biotech in 2026    Pharmaceutical Executive
• UK biotech Ternary raises £3.6m to scale AI platform for next-generation drugs - Business Matters: UK biotech Ternary raises £3.6m to scale AI platform for next-generation drugs    Business Matters
• Greenwich LifeSciences Switched Drug Product Mid-Pivotal Trial. The FDA Has Rules About That. - The Clinical Trial Vanguard: Greenwich LifeSciences Switched Drug Product Mid-Pivotal Trial. The FDA Has Rules About That.    The Clinical Trial Vanguard
• Theriva™ Biologics Reports Full-Year 2025 Operational Highlights and Financial Results - GlobeNewswire: Theriva™ Biologics Reports Full-Year 2025 Operational Highlights and Financial Results    GlobeNewswire
• HCW Biologics Inc. Receives $7 Million Upfront License Fee from Beijing Trimmune Biotech for HCW11-006 Development and Commercialization Rights - Quiver Quantitative: HCW Biologics Inc. Receives $7 Million Upfront License Fee from Beijing Trimmune Biotech for HCW11-006 Development and Commercialization Rights    Quiver Quantitative
• Fibroblast Growth Factors (FGFs) Market to Reach US$ 598.06 - openPR.com: Fibroblast Growth Factors (FGFs) Market to Reach US$ 598.06    openPR.com
• Astellas walks away from $1.6B biobucks T-cell engager pact with CytomX after 6 years - Fierce Biotech: Astellas walks away from $1.6B biobucks T-cell engager pact with CytomX after 6 years    Fierce Biotech
• Hong Kong attracts wave of biotech IPO filings amid AI drug research boom - South China Morning Post: Hong Kong attracts wave of biotech IPO filings amid AI drug research boom    South China Morning Post
• Dyno Therapeutics Launches Dyno Psi-Phi, an Agentic AI Suite for Protein Binder Design, at NVIDIA GTC 2026 - Business Wire: Dyno Therapeutics Launches Dyno Psi-Phi, an Agentic AI Suite for Protein Binder Design, at NVIDIA GTC 2026    Business Wire
• Biotech firms eye licensing changes to curb Trump’s MFN drug pricing impact - medwatch.com: Biotech firms eye licensing changes to curb Trump’s MFN drug pricing impact    medwatch.com
• This week in Santa Cruz County business: Santa Cruz biotech company nets new funding; RiverRow marks city’s first riverfront development - Lookout Santa Cruz: This week in Santa Cruz County business: Santa Cruz biotech company nets new funding; RiverRow marks city’s first riverfront development    Lookout Santa Cruz
• Ajaya Bio plans Series A to advance autoimmune treatment and grow in Philadelphia - Technical.ly: Ajaya Bio plans Series A to advance autoimmune treatment and grow in Philadelphia    Technical.ly
• AI Protein Design Market Forecast (2026) | Market Growth - openPR.com: AI Protein Design Market Forecast (2026) | Market Growth    openPR.com
• Alloy Therapeutics Enters Into Agreement to Advance Novel Antibody Discovery Platform - Business Wire: Alloy Therapeutics Enters Into Agreement to Advance Novel Antibody Discovery Platform    Business Wire
• A biotech VC sees early signs of a turnaround for startups - BioPharma Dive: A biotech VC sees early signs of a turnaround for startups    BioPharma Dive
• San Diego biotech funding freeze may ease if Trump signs bill - San Diego Union-Tribune: San Diego biotech funding freeze may ease if Trump signs bill    San Diego Union-Tribune
• Trinity Biotech Announces Collaboration with University at Buffalo to Commercialize Novel Biomarkers for Sjögren’s Syndrome - Yahoo Finance: Trinity Biotech Announces Collaboration with University at Buffalo to Commercialize Novel Biomarkers for Sjögren’s Syndrome    Yahoo Finance

💼 Jobs & Opportunities

• Jack Link’s Protein Snacks Total Rewards and People Services Business Partner - SmartRecruiters (SmartRecruiters)
• University Health Network Postdoctoral Researcher: Structural Biology - SmartRecruiters (SmartRecruiters)
• Omics & Bioinformatics Scientist (Wet Lab + Data Pipelines) - Workable (Workable)
• Share Advert | Postdoctoral Research Associate in Computational Biology - Jobs.ac.uk (Jobs.ac.uk)
• Computational Biologist at The University of Manchester - Jobs.ac.uk (Jobs.ac.uk)
• Bioinformatics scientist salary in Lexington, MA - Indeed (Indeed Jobs)
• 1 Msc Bioinformatics Jobs and Vacancies in Ahmedabad, Gujarat - 14 March 2026 - Indeed (Indeed Jobs)

📅 Events

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

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