🧬 Weekly Recap

Feb 16 - Feb 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, Feb 16

DeepFold-PLM: accelerating protein structure prediction via efficient homology search using protein language models.

🧬 Abstract

Motivation Protein structure prediction has been revolutionized and generalized with the advent of cutting-edge AI methods such as AlphaFold, but reliance on computationally intensive multiple sequence alignments (MSA) remains a major limitation. Results We introduce DeepFold-PLM, a novel framework that integrates advanced protein language models with vector embedding databases to enhance ultra-fast MSA construction, remote homology detection, and protein structure prediction. DeepFold-PLM utilizes high-dimensional embeddings and contrastive learning, significantly accelerate MSA generation, achieving 47 times faster than standard methods, while maintaining prediction accuracy comparable to AlphaFold. In addition, it enhances structure prediction by extending modeling capabilities to multimeric protein complexes, provides a scalable PyTorch-based implementation for efficient large-scale prediction. Our method also effectively increases sequence diversity (Neff = 8.65 versus 4.83 with JackHMMER) enriching coevolutionary information critical for accurate structure prediction. DeepFold-PLM thus represents a versatile and practical resource that enables high-throughput applications in computational structural biology. Availability and implementation Source codes and user-friendly Python API of all modules of DeepFold-PLM publicly available at https://github.com/DeepFoldProtein/DeepFold-PLM.

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

🗓️ Tuesday, Feb 17

AlphaFold2-Guided Cyclic Peptide Stabilizer Design to Target Protein-Protein Interactions.

🧬 Abstract

The control and modulation of protein-protein interactions (PPIs) is of central importance for the majority of biological processes and most biomedical applications. Stabilization of PPIs, besides inhibition, is of growing pharmaceutical interest. Due to their small size, drug-like organic molecules may not provide sufficient interaction surfaces to allow for high-affinity dual binding to both partners of a protein-protein complex. Cyclic peptides offer larger interaction surfaces, making them a promising class of stabilizers of PPIs. We have developed a computational protocol to rapidly and systematically design cyclic peptides that optimize not only the interaction with one target protein but simultaneously optimize the dual binding to two protein partners. The cyclic peptide generation is based on a modified AlphaFold2-based peptide design approach and combines confidence scoring with force field-based scoring using Molecular Dynamics simulations. The performance of the method is tested on protein-protein complexes with known cyclic peptide binders and stabilizers. In addition, the approach is used to design cyclic peptides that can act as bifunctional molecules, recruiting the cellular protein degradation system to a target protein. The designed cyclic peptides achieve similar or better calculated interaction scores than known binders and exhibit well-balanced interactions with both protein partners. The design protocol is generally applicable to cyclic peptide design for modulating or inducing protein-protein association and could be useful for many biomedical design efforts.

🗓️ Wednesday, Feb 18

Molecular docking: a computational approach for the discovery of novel targets against visceral leishmaniasis.

🧬 Abstract

The protozoan parasite Leishmania donovani is a major causative agent of visceral leishmaniasis (VL), a lethal disease posing significant public health challenges globally. Existing anti-VL drugs have become increasingly ineffective due to rising drug resistance, underscoring the urgent need for novel and effective therapeutic candidates. Computational approaches offer rapid and systematic methods for identifying potential drug targets and supporting rational drug design. This review discusses in silico molecular docking studies targeting various Leishmania proteins and their inhibitors, alongside the in vitro and in vivo validation of selected compounds, emphasizing their crucial roles in advancing antileishmanial drug discovery. In the review, we have focused on a molecular docking study and explored potential compounds with high binding energy toward protein targets of Leishmania. Following the in silico screening, our review highlights compounds that exhibit both in vitro and in vivo antileishmanial properties, allowing for an assessment of their therapeutic efficacy. Different Software is available for molecular docking, has been mentioned in the review. Overall conclusion of this review supports the computational approach in drug discovery before the in vitro and in vivo study, which can save cost and time efficiency as well.

🗓️ Thursday, Feb 19

Structure-Guided Engineering of High-Affinity Antibodies Against Zika Virus Using Deep Learning and Molecular Dynamics.

🧬 Abstract

Zika virus (ZIKV) remains a global health threat, for which no licensed antiviral treatment has been available. In this study, we employed in silico approaches to optimize monoclonal antibodies targeting the Zika virus envelope protein (ZIKV E) in the Domain III (DIII) region, which is crucial for receptor binding and virus entry. A high-resolution crystal structure of ZIKV E in complex with the neutralizing antibody ZV-64 was used as a template for designing a library of antibody variants through targeted double-point mutations. The variants were systematically evaluated for stability, binding affinity, solubility, and protein-protein interaction potential using FoldX, DeepPurpose, SoluProt, and molecular docking. Among all the mutants, Variants-213 and -206 were identified as the top candidates, exhibiting the most favorable predicted binding affinity and solubility compared to the control antibody. The molecular dynamics simulations further revealed the structural stability of the two mutant variants, in which Variant-206 showed a predicted binding energy (-76.90 kcal/mol) along with higher conformational flexibilities. The findings demonstrate the use of computational antibody engineering to identify potentially high-affinity therapeutics against ZIKV, providing a foundation for future experimental validation and therapeutic development against ZIKV.

🗓️ Friday, Feb 20

A New Insight into the Study of Neural Cell Adhesion Molecule (NCAM) Polysialylation Inhibition Incorporated the Molecular Docking Models into the NMR Spectroscopy of a Crucial Peptide-Ligand Interaction.

🧬 Abstract

The expression of polysialic acid (polySia) on the neuronal cell adhesion molecule (NCAM) is called NCAM-polysialylation, which is strongly related to the migration and invasion of tumor cells and aggressive clinical status. During the NCAM polysialylation process, polysialyltransferases (polySTs), such as polysialyltransferase IV (ST8SIA4) or polysialyltransferase II (ST8SIA2), can catalyze the addition of CMP-sialic acid (CMP-Sia) to the NCAM to form polysialic acid (polySia). In this study, the docking models of polysialyltransferase IV (ST8Sia4) protein and different ligands were predicted using Alphafold 3 and DiffDock servers, and the prediction accuracy was further verified using the NMR experimental spectra of the interactions between polysialyltransferase domain (PSTD), a crucial peptide domain in ST8Sia4, and a different ligand. This combination strategy provides new insights into a quick and effective screening for inhibitors of tumor cell migration.

Why it matters: Enhances small-molecule or peptide docking accuracy for targeted drug discovery.

📚 All Papers & Quick Reads

🗓️ Monday, Feb 16

• Demonstrating the Absence of Correlation Between Molecular Docking and in vitro Cytotoxicity in Anti-Breast Cancer Research: Root Causes and Practical Resolutions.: Introduction In silico methods have significantly transformed the landscape of drug discovery by enabling rapid and cost-effective screening of prospective therapeutic compounds. However, these computational techniques remain limited in their ability to…
• From MM-PBSA to H-MMGB: Multiscale Modeling for Biomolecular Structure and Drug Discovery.: From early efforts to predict protein structure from simplified models, computational biophysics has progressed toward increasingly physics-based approaches for evaluating biomolecular structure, molecular interactions, and energetics. The molecular…
• Molecular docking approaches in mycetoma: Toward improved patient management.: Mycetoma is a neglected tropical disease characterised by chronic, granulomatous inflammation of the subcutaneous tissues, often leading to disfigurement, disability, and significant socioeconomic burdens. Caused by a diverse array of bacterial and fungal…
• Synthesis, biological evaluation, molecular docking, molecular dynamics simulation, and ADME studies of novel carbazole-aniline hybrids as cytotoxic agents.: A novel series of seven carbazole-aniline hybrids (5a-5 g) were designed, synthesized, and evaluated as potential anticancer agents. Among them, compound 5e, bearing a para-methoxy substituent, emerged as the most potent candidate, demonstrating…
• Efficient global accuracy estimation for protein complex structural models using multi-view representation learning.: With the rapid advancement of protein structure prediction techniques and the explosive growth of predicted structural data, existing estimation of model accuracy (EMA) methods struggle to balance computational efficiency with estimation performance. Here,…
• Detoxification mechanism of semi-coking wastewater by hydrogel-assisted SNAD process via iron‑mediated coordination adsorption: Performance, microbiota interaction, and molecular docking.: Semi-coking wastewater (SCWW) contains toxic compounds that threaten both human health and ecosystem integrity. In this study, an anaerobic ammonium oxidation (anammox)-based simultaneous partial nitrification, anammox, and denitrification (SNAD) process,…
• Linking spatial omics to patient phenotypes at the population scale by BSNMani: Bayesian scalar-on-network regression with manifold learning: Spatial omics enables the integration of high-dimensional molecular organization with clinical outcomes, yet incorporating spatial single-cell information into predictive models at the population scale remains challenging. Here, we adapted BSNMani,…
• Kinic index: an artificial intelligence-driven predictive model and multitarget drug discovery framework for hepatocellular carcinoma patients.: Hepatocellular carcinoma (HCC) remains a major global health challenge due to its molecular heterogeneity, late diagnosis, and limited therapeutic options. Recent studies have identified isonicotinylation (Kinic), a novel lysine acylation, as a regulatory…

🗓️ Tuesday, Feb 17

• Computational Insights into the Selectivity of Lipases in the (-)-Epigallocatechin Gallate (EGCG) Esterification Reaction Based on Molecular Docking.: The lipase-catalyzed esterification reaction of (-)-epigallocatechin gallate (EGCG) is an effective method to improve its lipophilicity. However, the determinants of EGCG and acyl donors influencing the selectivity of EGCG esterification sites catalyzed by…
• AlphaFold2-Guided Cyclic Peptide Stabilizer Design to Target Protein-Protein Interactions.: The control and modulation of protein-protein interactions (PPIs) is of central importance for the majority of biological processes and most biomedical applications. Stabilization of PPIs, besides inhibition, is of growing pharmaceutical interest. Due to…
• Glycosylation Matters: Network Pharmacology-Based and Molecular Docking Analysis of Resveratrol Glycosylated Derivatives on Parkinson’s Disease.: Resveratrol (RV), a natural polyphenol, has been extensively studied for its neuroprotective potential in Parkinson’s Disease (PD), but its clinical translation is limited by poor bioavailability and rapid metabolism. Glycosylated derivatives, including…
• A Synthesis of Novel Tetracyclic Azocino[4,3-b]Indole Framework: Combined Spectroscopic, DFT, Molecular Docking, and ADMET Analysis.: The paper describes a new synthetic method for the 1,5-methanoazocino [4,3-b]indole. Starting from 2,3,4,9-tetrahydrospiro[1H-carbazole-1,2’-[1,3]dithiolan]-4(9H)-one I with (1,3-dithiolan-2-yl)methanamine, reduction of imine II with NaBH4 yielded to the…
• Screening of Natural Inhibitors from Pleurotus ostreatus against PHGDH for Enhancing Antiviral Innate Immunity through Mendelian Randomization, Machine Learning, Molecular Docking, Molecular Dynamics Simulation, and Binding Free Energy Calculation
• Antidepressant Mechanisms of L-Theanine in Tea Based on Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulations
• Mechanistic insights into PFAS derivatives-induced coronary heart disease and atherosclerotic renal artery stenosis via integrated network toxicology and molecular modeling.: Per- and polyfluoroalkyl substances (PFAS), such as PFHpA, PFOA, PFNA, and PFDA, are persistent environmental pollutants associated with multiple diseases. This study investigates the toxic mechanisms and pathways by which PFAS derivatives contribute to…
• Exploring the Therapeutic Mechanism of Xiehuo Pingtu San in Treating Thyroid Eye Disease Based on Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation

🗓️ Wednesday, Feb 18

• Molecular docking: a computational approach for the discovery of novel targets against visceral leishmaniasis.: The protozoan parasite Leishmania donovani is a major causative agent of visceral leishmaniasis (VL), a lethal disease posing significant public health challenges globally. Existing anti-VL drugs have become increasingly ineffective due to rising drug…
• Validating the potential mechanism and therapeutic effect of Qinlian Jiangxia decoction (芩连姜夏汤) in the treatment of type 2 diabetes mellitus complicated with hyperlipidemia through network pharmacology, molecular docking, molecular dynamics simulation, and in vivo experiments
• Subtimizer: Computational Workflow for Structure-Guided Design of Potent and Selective Kinase Peptide Substrates.: Kinases are pivotal cell signaling regulators and prominent drug targets. Short peptide substrates are widely used in kinase activity assays essential for investigating kinase biology and drug discovery. However, designing substrates with high activity and…
• Fusion of pyrene and phenanthrene through 5H-imidazo[1,2-a]azepine scaffolds: structural tuning for fluorescence labeling and bacterial imaging.: This study investigates polycyclic aromatic fluorophores featuring pyrene and phenanthrene fused through either an imidazo[1,2-a]azepinone or an imidazo[1,2-a]azepinol central ring. These fluorophores were synthesized via a one-pot pyrene-4,5-dione…
• ClpK as a Chaperone Hub: Computational Exploration of its Protein Interaction Landscape: Protein-protein interaction networks provide a foundation for understanding the molecular mechanisms within cells and are increasingly recognized as promising targets for therapeutic intervention. However, the experimental elucidation of these interactions…
• Integrated network toxicology and molecular simulations uncover the molecular mechanism and core targets of DNBaP-induced lung cancer.: This study aims to comprehensively apply network toxicology and molecular dynamics simulation techniques to investigate the molecular mechanisms of DNBaP-induced lung cancer. We first predicted the toxicological characteristics of DNBaP related to…
• In silico design of novel multi-epitope peptide vaccine against Neospora caninum induced cattle abortion targeting extracellular GRA2 and Nc-p43 protein.: Neospora caninum (NC) is a protozoan infection causing neosporosis, a disease that leads to substantial economic loss in livestock, especially in cattle, sheep, and goats. Unfortunately, there is presently no viable vaccination or authorized therapy…
• Structure-Based Design and In Silico Evaluation of a Lipophilic Cyclooctanoyl- Derivative as a Renin Inhibitor: Lessons from Withdrawn Aliskiren.: Renin, a key aspartic protease central to the renin-angiotensin-aldosterone system (RAAS), remains a therapeutic target for hypertension despite the withdrawal of the only approved direct renin inhibitor, Aliskiren, due to unfavorable drug-drug…

🗓️ Thursday, Feb 19

• Assessment of Antidiarrheal Activity of Fraxin in Chick: Synergistic Effects and Molecular Docking Study.: Fraxin (FRX), a natural compound, has gained attention for its potential therapeutic effects, particularly in gastrointestinal disorders. This study investigates the antidiarrheal activity of FRX in both in vivo and in silico models. In the in vivo study,…
• Computational and experimental engineering of a Pleurotus citrinopileatus lipases: Structural insights and functional optimization to adapt the hydrolytic profile for cheese applications.: Mutants of a golden oyster mushroom lipase (Pleurotus citrinopileatus; PCI_Lip), were engineered to enhance hydrolysis profiles for cheese production. Key residues affecting activity were identified by SMME (Structure model based on AlphaFold3 prediction,…
• Integrating network pharmacology to elucidate the protective mechanisms of syringin in sperm injury.: Aim Syringin demonstrates significant pharmacological effects in cancer and autoimmune disease models, primarily through its anti-apoptotic, anti-inflammatory, and immune-modulating properties. Recent studies indicate its potential to mitigate…
• Designing Novel NMDA Receptor Antagonists for Ischemic Stroke: A 3D-QSAR and Molecular Dynamics Simulation Approach.: Background Strokes represent a significant global health concern, with ischemic stroke being the most prevalent and deadly form. The pathogenesis of ischemic stroke involves complex mechanisms, including excitotoxicity, oxidative stress, and cell death….
• Computational study of chalcone-cyanopyrimidine hybrids as LSD1 inhibitors: Assessing the influence of FAD on binding affinity and inhibition.: The inhibition of lysine-specific demethylase 1 (LSD1) has emerged as a promising therapeutic strategy for cancer treatment due to its critical role in epigenetic regulation. In this study, we conducted an in-silico investigation to explore the potential…
• In-silico identification of antimalarial compounds targeting PfMDR1 of <i>Plasmodium falciparum</i>.: PfMDR1, a key transporter protein in Plasmodium falciparum , contributes to antimalarial drug resistance by actively expelling drugs like chloroquine from the parasite’s digestive vacuole, lowering their intracellular efficacy. In this study, our aim was…
• Spectral Convolution on Orbifolds for Geometric Deep Learning: Geometric deep learning (GDL) deals with supervised learning on data domains that go beyond Euclidean structure, such as data with graph or manifold structure. Due to the demand that arises from application-related data, there is a need to identify further…

🗓️ Friday, Feb 20

• Deciphering the role of gut microbiota metabolites in bronchiectasis through the perspectives of network pharmacology, Mendelian randomization, and molecular dynamics.: The role of gut microbiota and their metabolites in respiratory diseases via the “gut-lung axis” has garnered increasing attention, yet their specific mechanisms in bronchiectasis (BIS) remain unclear. This study integrates network pharmacology with…
• GSTM4 in oral cancer therapy: genome-wide Mendelian randomization and network pharmacology unveil mechanistic and therapeutic insights.: Oral cancer (OC) is a prevalent malignancy influenced by environmental factors such as smoking, alcohol consumption, poor oral hygiene, and HPV infection, as well as genetic susceptibility. This study integrates expression quantitative trait locus and…
• Resveratrol attenuates pulmonary fibrosis by inhibiting alveolar epithelial senescence via targeting SASP-related proteins: an integrated bioinformatics-experimental study.: Background Pulmonary fibrosis (PF) is a progressive and fatal interstitial lung disease with limited treatment options. Premature senescence of alveolar epithelial type II cells (AT2 cells) plays a critical role in PF pathogenesis. This study aimed to…
• Phytosterols from Rosaceae Species as Dual Modulators of Neuroinflammation and Induced Pluripotency.: Neuroinflammation is a central pathological hallmark of numerous neurodegenerative disorders, often linked to oxidative stress, immune dysregulation, and neuronal dysfunction. Recent advances in regenerative medicine highlight induced pluripotent stem…
• Antifreeze Peptides Derived from Silver Carp Parvalbumin: Dual Mechanisms of Ice Inhibition and Membrane Stabilization for Superior Yeast Cryopreservation.: This study investigated the cryoprotective effects and mechanisms of antifreeze peptides derived from silver carp parvalbumins (PV-AFPs) in a yeast model, employing a combined experimental and computational approach. Results showed that PV-AFPs…
• Repurposing statins as potential antifungal agents for Candida albicans: in-vitro and in-silico approach.: Candida is a devastating fungal pathogen causing infection, exhibiting biofilm formation and leading to significant mortality and morbidity. This study aims to evaluate the antifungal efficacy of Atorvastatin against Candida albicans. We compared the…
• Valosin-Containing Protein as a therapeutic target in CAG repeat-driven Spinocerebellar ataxias: Integrative transcriptomic and computational insights.: Spinocerebellar ataxias (SCAs) are progressive neurodegenerative disorders caused by abnormal CAG repeat expansions in genes such as ATXN1, ATXN2, and ATXN3, with no effective therapeutic options currently available. To identify key molecular drivers of…
• Unravelling the therapeutic potential of chrysin against ischemic stroke and post-stroke cognitive impairment: a network pharmacology and in-silico perspective.: Ischemic stroke (IS) is a cerebrovascular disorder that, if left untreated, can lead to secondary neurodegeneration and Post Stroke Cognitive Impairment (PSCI). Current therapies offer a narrow time window, highlighting the need for alternative approaches….

🛠️ Tools & Datasets

• 🛠 Tool: Foldseek - Ultra-fast structural search and clustering engine.
• 🛠 Tool: MMseqs2 - Fast and sensitive sequence search and clustering suite.
• 💾 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: HHSuite - Remote homology detection with HMM-HMM comparison.
• 💾 Dataset: PDB-REDO - Optimized protein structure database with refined models.
• 🛠 Tool: MAFFT - Multiple sequence alignment with high speed and accuracy.
• 💾 Dataset: CATH - Hierarchical protein domain classification for structure and function.
• 🛠 Tool: Clustal Omega - Scalable multiple sequence alignment for protein families.
• 💾 Dataset: SCOPe - Curated structural classification of proteins for fold analysis.
• 🛠 Tool: Rosetta - Protein modeling, docking, and design suite.
• 💾 Dataset: Pfam - Protein families database with curated multiple sequence alignments.

🤖 AI in Research Recap

• Next in Skin: Skin Memory and Emotional Longevity - Cosmetics & Toiletries: Next in Skin: Skin Memory and Emotional Longevity    Cosmetics & Toiletries
• AI Cannot Automate Science – A Philosopher Explains the Uniquely Human Aspects of Doing Research - The Good Men Project: AI Cannot Automate Science – A Philosopher Explains the Uniquely Human Aspects of Doing Research    The Good Men Project
• With AI, researchers find increasing immune evasion in H5N1 - MSN: With AI, researchers find increasing immune evasion in H5N1    MSN
• Hassabis steers Google’s AI push and reshapes global competition - CHOSUNBIZ - Chosunbiz: Hassabis steers Google’s AI push and reshapes global competition - CHOSUNBIZ    Chosunbiz
• Creative Biolabs Introduces AI-Powered Solutions for sdAb, ADC, and Multi-Specific Antibody Design - FinancialContent: Creative Biolabs Introduces AI-Powered Solutions for sdAb, ADC, and Multi-Specific Antibody Design    FinancialContent
• BBB Seminar - Wiebke Möbius - Universitetet i Bergen: BBB Seminar - Wiebke Möbius    Universitetet i Bergen
• We’re creating cutting-edge AI science tools for Google DeepMind—and 3 million researchers across 190+ countries - Fortune: We’re creating cutting-edge AI science tools for Google DeepMind—and 3 million researchers across 190+ countries    Fortune
• Modern AI Tools Cutting Research Time, Says Google DeepMind Official - Deccan Chronicle: Modern AI Tools Cutting Research Time, Says Google DeepMind Official    Deccan Chronicle
• Nuclera and leadXpro provide shot in the arm for membrane protein programmes - Business Weekly: Nuclera and leadXpro provide shot in the arm for membrane protein programmes    Business Weekly
• Nuclera and leadXpro partner to accelerate structure‑based drug design - PharmaTimes: Nuclera and leadXpro partner to accelerate structure‑based drug design    PharmaTimes
• DeepMind’s AlphaFold Database Hits 3 Million Researchers Milestone - Dataconomy: DeepMind’s AlphaFold Database Hits 3 Million Researchers Milestone    Dataconomy
• Sundar Pichai: $15Bn AI Hub in India, AlphaFold Nobel Win & Bold AI Vision | AI Summit 2026 - Moneycontrol: Sundar Pichai: $15Bn AI Hub in India, AlphaFold Nobel Win & Bold AI Vision | AI Summit 2026    Moneycontrol
• New Alliance Speeds Membrane Protein Discovery - Technology Networks: New Alliance Speeds Membrane Protein Discovery    Technology Networks

🏢 Industry & Real-World Applications

• Layoff Tracker: Ultragenyx Downsizes By 10% After Bone Drug’s Phase 3 Fail - BioSpace: Layoff Tracker: Ultragenyx Downsizes By 10% After Bone Drug’s Phase 3 Fail    BioSpace
• China Biotech Out-licensing Surge Breaks Records in 2026 - NAVLIN DAILY: China Biotech Out-licensing Surge Breaks Records in 2026    NAVLIN DAILY
• China biotech licensing boom to hit record in 2026 as pipeline swells - Reuters: China biotech licensing boom to hit record in 2026 as pipeline swells    Reuters
• Monash University and Ono Pharmaceutical Co., Ltd. sign two licence agreements - Monash University: Monash University and Ono Pharmaceutical Co., Ltd. sign two licence agreements    Monash University
• Cue Biopharma Appoints Industry Veteran Lucinda Warren as Chief Financial and Business Officer - The Manila Times: Cue Biopharma Appoints Industry Veteran Lucinda Warren as Chief Financial and Business Officer    The Manila Times
• Genetically modified organism - Medicine, Research, Biotechnology - Britannica: Genetically modified organism - Medicine, Research, Biotechnology    Britannica
• Prasad overruled FDA staff to reject Moderna’s flu vaccine application - statnews.com: Prasad overruled FDA staff to reject Moderna’s flu vaccine application    statnews.com
• Understand partnering in China by understanding the journey - BioXconomy: Understand partnering in China by understanding the journey    BioXconomy
• How Biologics Benefit Patients With Challenging COPD - Medscape: How Biologics Benefit Patients With Challenging COPD    Medscape
• Inside HCW Biologics’ $7M deal to test a new cancer drug in China - Stock Titan: Inside HCW Biologics’ $7M deal to test a new cancer drug in China    Stock Titan
• Complex Innovative Trial Design Meeting Program - fda.gov: Complex Innovative Trial Design Meeting Program    fda.gov
• Novartis, UNP, Launch Up-to-$1.8B+ Macrocyclic Peptide Partnership - GEN - Genetic Engineering and Biotechnology News: Novartis, UNP, Launch Up-to-$1.8B+ Macrocyclic Peptide Partnership    GEN - Genetic Engineering and Biotechnology News
• First Patients Dosed in Alphyn Biologics’ Phase 2 Trial of First-in-Class Topical Therapeutic for Molluscum Contagiosum - PR Newswire: First Patients Dosed in Alphyn Biologics’ Phase 2 Trial of First-in-Class Topical Therapeutic for Molluscum Contagiosum    PR Newswire
• Biotech Startup M&A Is Reliably Delivering Some Big Exits - Crunchbase News: Biotech Startup M&A Is Reliably Delivering Some Big Exits    Crunchbase News
• Six biotechs to know in Barcelona - Labiotech.eu: Six biotechs to know in Barcelona    Labiotech.eu
• Reversal Of NIH Funding Cuts Preserves Pipeline Of Potential Biotech Tenants - Bisnow: Reversal Of NIH Funding Cuts Preserves Pipeline Of Potential Biotech Tenants    Bisnow
• Scientists Expand Biomedical Research Horizons with Breakthrough in Synthesizing Novel Amino Acids - BIOENGINEER.ORG: Scientists Expand Biomedical Research Horizons with Breakthrough in Synthesizing Novel Amino Acids    BIOENGINEER.ORG
• Biologics and other world-class therapies keep pro athletes and ‘weekend warriors’ at the top of their game - UCLA Health: Biologics and other world-class therapies keep pro athletes and ‘weekend warriors’ at the top of their game    UCLA Health
• Experts react to FDA’s shift to single pivotal trials for most drugs - Regulatory Affairs Professionals Society | RAPS: Experts react to FDA’s shift to single pivotal trials for most drugs    Regulatory Affairs Professionals Society | RAPS
• Novartis, UNP, Launch Up-to-$1.8B+ Macrocyclic Peptide Partnership - Genetic Engineering and Biotechnology News: Novartis, UNP, Launch Up-to-$1.8B+ Macrocyclic Peptide Partnership    Genetic Engineering and Biotechnology News
• Novartis finds natural partner in macrocycle biotech, inking $1.7B-plus cardio deal - Fierce Biotech: Novartis finds natural partner in macrocycle biotech, inking $1.7B-plus cardio deal    Fierce Biotech

💼 Jobs & Opportunities

• Psivant Therapeutics, Inc. - Senior/Principal Scientist, Medicinal Chemistry - Lever (Lever)
• Deep Genomics - FP&A Manager - Lever (Lever)
• Associate Program Manager - Workable (Workable)
• 5 Computational Biology jobs at Karolinska Institutet - Academic Positions (Academic Positions)
• COLCOM - Postdoctoral Researcher: Genomic Language Models for Bacterial Genomes - Academic Positions (Academic Positions)
• 5 Cancer Research jobs in Sweden - Academic Positions (Academic Positions)
• AbbVie Senior Scientist II, Computational Biology - jobs.smartrecruiters.com (SmartRecruiters)

📅 Events

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

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