🧬 Weekly Recap

Mar 23 - Mar 27, 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 23

AlphaFold3: A Transformer in Life Sciences.

🧬 Abstract

The development of AlphaFold2 (AF2) marked a revolutionary milestone in the field of life sciences, such as structural and computational biology, offering highly accurate atomic-level predictions of individual protein structures using deep learning techniques. Its unprecedented performance has transformed structural biology by providing insights that were previously dependent on time-consuming experimental methods. However, despite its success, AF2 has notable limitations. It struggles with accurately modeling protein-protein interactions and fails to reliably predict the presence and positioning of non-protein components, such as nucleic acids, metal ions, ligands, and posttranslational modifications, which are critical for understanding full biological functionality. In response to these shortcomings, AlphaFold3 (AF3) has emerged as a more comprehensive solution by integrating sequence, structural, and chemical context to predict a broader range of biomolecular structures and their interactions. However, AF3 is not without limitations. It still struggles with intrinsically disordered regions, low-homology sequences, and RNA structures, particularly long or unvalidated ones. Moreover, antibody- antigen docking and flexible binding site modeling remain challenging. Addressing these gaps may require hybrid approaches that combine AF3 with experimental data, molecular dynamics simulations, or network-based models. This review explores the technical innovations underlying AF3, evaluates its current performance across different biological contexts, and presents its transformative potential in fields, such as antibodies and vaccine development for infectious diseases, cancer, and other diseases, as well as basic biological research. Finally, we highlight the remaining challenges and propose future research directions to further improve the prediction of protein complexes and other biomolecular structures.

🗓️ Tuesday, Mar 24

Best Practices in Mixed-Solvent Molecular Dynamics and Solvent-Site-Biased Docking.

🧬 Abstract

In this work, we present practical recommendations for the setup, analysis, and integration of mixed-solvent molecular dynamics (MixMD), solvent-biased docking (SSBD) workflows and pharmacophore analysis, drawing on more than a decade of accumulated experience in the field from multiple implementations and applications. Rather than providing a comprehensive review of all applications of MixMD, this Perspective focuses specifically on its use as a methodological foundation for deriving solvent sites that inform docking and pharmacophore-based strategies in structure-based drug design. Currently, mixed-solvent simulations and solvent-biased docking constitute a coherent, experimentally validated strategy for identifying and exploiting binding hot spots in proteins, and for translating solvent occupancy patterns into structurally interpretable pharmacophoric features and docking constraints. By standardizing best practices, and synthesizing previously published computational studies into a unified methodological framework, we aim to facilitate broader adoption of these methods within the structure-based drug design community, enabling more reliable identification of functional sites and accelerating rational ligand discovery.

🗓️ Wednesday, Mar 25

Integrative structural and physicochemical characterization of chalcone synthase enzymes from medicinal plants using AlphaFold, molecular docking, and molecular dynamics.

🧬 Abstract

Chalcone synthase (CHS) is the entry-point enzyme of the flavonoid biosynthetic pathway, catalyzing the first committed step toward the production of diverse bioactive metabolites with antioxidant, anti-inflammatory, and anticancer properties. Here, we conducted a comparative in silico characterization of CHS from 13 medicinal plants, with Arabidopsis thaliana included as reference species. Protein sequences retrieved from UniProtKB were aligned using ClustalW, revealing strong conservation of key motifs, particularly the catalytic triad (Cys-His-Asn), GFGPG motif, and catalytic loop. Physicochemical profiling indicated interspecies variability in predicted protein stability, hydrophobicity, and thermostability, reflecting structural adaptation rather than direct functional divergence. AlphaFold-predicted structures consistently adopted the conserved thiolase-like αβαβα-fold characteristic of type III polyketide synthases, while exhibiting species-specific variations in the substrate-binding channel architecture. These variations are interpreted as structural features that may influence substrate accommodation and selectivity. To assess functional relevance, molecular docking with p-coumaroyl-CoA further confirmed stable substrate placement within the conserved catalytic pocket across species. Furthermore, 100-ns molecular dynamics simulations of representative crystal-derived and AlphaFold-predicted CHS-ligand complexes confirmed conformational stability, which was supported by MM-PBSA calculations revealing favorable binding energetics dominated by van der Waals interactions. Collectively, this study integrates sequence, structural, and dynamic analyses to establish a computational framework for comparative CHS characterization in medicinal plants. While the findings are derived exclusively from in silico approaches, they provide structurally grounded hypotheses that may guide future experimental validation, enzyme engineering, and pathway-oriented exploration of flavonoid biosynthesis.

Why it matters: Provides actionable mutations to enhance catalytic efficiency or thermostability.

🗓️ Thursday, Mar 26

DynaBench: Dynamic data for the docking benchmark.

🧬 Abstract

Protein-protein interactions are central to numerous cellular processes, including transport, signaling, and immune response. Structural modeling of protein assemblies typically relies on AlphaFold or docking methods, which produce structural models evaluated against a single experimental reference. While AlphaFold2 and its extension, AlphaFold-Multimer, have advanced complex prediction, they, and conventional docking tools, offer only static representations. However, flexibility at protein-protein interfaces is increasingly recognized as critical for function. To address this limitation, DynaBench provides a benchmark of interface dynamics in biologically relevant protein assemblies. We performed MD simulations for over 200 protein-protein complexes listed in the Docking Benchmark 5.5 (https://zlab.umassmed.edu/benchmark/), generating three 100 ns long replicas per complex. All trajectories are now publicly available online (http://www-lbt.ibpc.fr/DynaBench) via the MDposit platform (INRIA node), which is part of the EU-funded Molecular Dynamics Data Bank (MDDB). These simulations offer a unique resource for exploring interfacial flexibility, training machine learning models, redefining accuracy metrics for model evaluation, and informing the design of protein interfaces.

Why it matters: Expands the searchable sequence space for novel folds and high-affinity binders.

🗓️ Friday, Mar 27

Computational Identification of Novel Inhibitors Targeting Multiple Proteins of Tomato Brown Rugose Fruit Virus (ToBRFV) Through AlphaFold-Based Protein Modeling, Molecular Docking, MM/GBSA Binding Free Energy Analysis, and Molecular Dynamics Simulation

🧬 Abstract

Abstract Tomato brown rugose fruit virus (ToBRFV), a tobamovirus, poses a significant threat to global tomato production due to its high infectivity, seed-borne transmission, and severe fruit symptoms. In this study, an integrative computational approach was employed to identify plant-derived phytochemicals capable of inhibiting essential viral proteins such as movement protein (MP), coat protein (CP), helicase domain, and RNA-dependent RNA polymerase (RdRP) domain. The three-dimensional structures of these viral targets were predicted using AlphaFold and subsequently validated using Ramachandran plots. A library of 2,847 phytochemicals was subjected to molecular docking, followed by MM-GBSA binding free energy calculations to evaluate binding affinity and interaction strength. Top-ranked compounds were further validated through 100-ns molecular dynamics (MD) simulations to assess complex stability and conformational behavior. Panasenoside, Kaempferol 3-sophorotrioside, Violanin, and Albireodelphin A exhibited the strongest binding affinities toward MP, CP, Helicase, and RdRP, respectively. RMSD and RMSF analyses confirmed the stability of these complexes, highlighting persistent hydrogen-bonding interactions within the active sites. The findings underscore the potential of flavonoids as effective antiviral agents against ToBRFV and provide a foundation for future in vitro and in vivo validation studies to develop flavonoid-based antiviral formulations for sustainable tomato crop protection.

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

📚 All Papers & Quick Reads

🗓️ Monday, Mar 23

• RLBindDeep: A ResNet-LSTM based novel framework for protein-ligand binding affinity prediction.: The prediction of the binding affinity of proteins and ligands in computational drug discovery with high accuracy is critical when evaluating the effectiveness of potential therapeutic compounds. This research work introduces RLBindDeep, a novel deep…
• Combining network pharmacology, machine learning, molecular docking, molecular simulation dynamics and experimental validation to explore the mechanism of Zhenwu decoction in treating major depression through TNF-α pathways.: Background Major depressive disorder (MDD) is a severe psychophysiological condition characterized by cognitive decline, low energy, weight loss, insomnia, and increased suicide risk, posing a significant burden on global health. Zhenwu decoction (ZWD), a…
• Validating the potential mechanism and therapeutic effect of Qinlian Jiangxia decoction in the treatment of type 2 diabetes mellitus complicated with hyperlipidemia through network pharmacology, molecular docking, molecular dynamics simulation, andexperiments.: Objective To investigate the mechanism of action of Qinlian Jiangxia decoction (, QLJXD) in the treatment of type 2 diabetes mellitus (T2DM) complicated by hyperlipidemia using network pharmacology, molecular docking, molecular dynamics simulation and in…
• AlphaFold3: A Transformer in Life Sciences.: The development of AlphaFold2 (AF2) marked a revolutionary milestone in the field of life sciences, such as structural and computational biology, offering highly accurate atomic-level predictions of individual protein structures using deep learning…
• Investigating the mechanistic link between pesticide DDT and breast cancer through network toxicology, molecular docking, and molecular dynamics simulation.: To elucidate the molecular mechanisms by which the pesticide Dichlorodiphenyltrichloroethane (DDT) may contribute to breast cancer pathogenesis, focusing on its interactions with key cancer-related molecular pathways. Target genes of DDT and breast cancer…
• Smart Integration of Structural Biology and Medicinal Chemistry to Unlock Target-Driven Drug Discovery.: To enhance drug discovery efforts, medicinal chemists should evaluate, filter, and utilize relevant structural information about target proteins. Acquiring and interpreting protein structures is crucial for elucidating ligand-receptor interactions and…
• AI-powered literature mining reveals the therapeutic significance of GLP-1 receptor: Simulation of natural agonist candidates based on molecular dynamics.: Glucagon-like peptide-1 (GLP-1), a pivotal incretin hormone modulating glycemic homeostasis, has emerged as a clinically validated target for the treatment of type 2 diabetes and obesity. In this study, we present a comprehensive AI-integrated drug…
• Biosynthesis of Silver Nanoparticles by Kurthia gibsonii: Molecular Docking and Pathogenicity Insights.: The increasing emergence of antimicrobial resistance (AMR) has heightened the need for novel antimicrobial agents. Silver nanoparticles (AgNPs) have gained attention due to their broad-spectrum activity against bacteria and fungi, but conventional…

🗓️ Tuesday, Mar 24

• In silico prediction, molecular docking and simulation of natural flavonoid apigenin and xanthoangelol E against human metapneumovirus.: Human metapneumovirus (hMPV) is one of the potential pandemic pathogens, and it is a concern for elderly subjects and immunocompromised patients. There is no vaccine or specific antiviral available for hMPV. We conducted an in-silico study to predict…
• Synthesis and electrochemical properties of a novel thiophene-sulfamerazine Schiff base containing scaffold: comprehensive investigation of its interaction with DNA via voltammetric, spectrophotometric, and molecular docking studies.: This study reports the synthesis and comprehensive characterization of a new Schiff-base ligand (L), derived from the condensation of 2,5-thiophenedicarboxaldehyde and sulfamerazine. The structural identity of L was unequivocally confirmed through…
• A green tandem cyclization approach to substituted 2-aminothiazoles via molecular sieve/I2 catalysis: DFT, molecular dockings, and pharmacokinetic profiles.: In an effort to promote eco-friendly organic synthesis, a facile, sustainable, and highly efficient procedure for the synthesis of 2-amino-1,3-thiazole derivatives was developed. The protocol of this process incorporates the principles of green chemistry….
• DFT and molecular docking-guided investigation of mixed-ligand octahedral Fe(III) and Cu(II) Schiff-base and albendazole complexes with antimicrobial potential.: This work describes the synthesis of two novel octahedral mixed ligand transition metal complexes, FeHLAB and CuHLAB, which incorporate a combination of a Schiff-base (HL) ligand and albendazole (AB). Both of these complexes were synthesized in high yields…
• Best Practices in Mixed-Solvent Molecular Dynamics and Solvent-Site-Biased Docking.: In this work, we present practical recommendations for the setup, analysis, and integration of mixed-solvent molecular dynamics (MixMD), solvent-biased docking (SSBD) workflows and pharmacophore analysis, drawing on more than a decade of accumulated…
• Deciphering bisphenol A (BPA)-elicited osteoarthritis mechanisms through network toxicology and molecular docking, then de novo generation of novel therapeutic candidates.: Objective Bisphenol A (BPA), a pervasive environmental pollutant, is increasingly associated with osteoarthritis (OA) development, yet its molecular mechanisms remain unknown. Currently, there is no definitive cure for OA. Methods BPA targets were…
• Elucidating the potential carcinogenic molecular mechanisms of parabens in head and neck squamous cell carcinoma through network toxicology and molecular docking.: This study aims to systematically investigate the molecular mechanisms through which parabens may contribute to head and neck squamous cell carcinoma (HNSCC) carcinogenesis using integrated network toxicology and molecular docking. Six commonly used…
• Multitarget docking and molecular enumeration reveal DdpMPyPEPhU as a potent modulator of cell cycle, glucocorticoid, and estrogen signalling in breast cancer.: Breast cancer is one of the most prevalent cancers worldwide, ranked as the second most diagnosed cancer and the fourth leading cause of cancer-related deaths. Despite the availability of FDA-approved therapies, limitations such as drug resistance and…

🗓️ Wednesday, Mar 25

• Binding interactions of Trametes villosa and Trametes lactinea laccases with 4-nonylphenol and its intermediates: molecular docking and molecular dynamics approaches.: Emerging pollutants such as 4-nonylphenol (4-NP) act as endocrine disruptors and have been associated with reproductive toxicity in humans and wildlife, as well as with physiological disturbances in aquatic, terrestrial, and plant organisms. Laccases are…
• Artificial intelligence driven protein design and sustainable nanomedicine for advanced theranostics.: The integration of artificial intelligence, protein engineering, and sustainable nanomedicine is driving a paradigm shift in theranostics by enabling highly precise disease diagnosis and targeted therapy. AI-driven methodologies, including machine learning…
• Network pharmacology and molecular docking-based insights into the anti-melanoma potential of dalbergin.: Of all the skin malignancies, melanoma is the most invasive and challenging to treat. Melanoma patients have a poor prognosis and a high recurrence rate despite advancements in treatment. There is substantial evidence that plant-derived bioactives prevent…
• Deciphering the mechanisms underlying the dual-target inhibition of carbohydrate-digesting and neurodegenerative enzymes by Syzygium aromaticum (L.) Merr. & L.M. via molecular docking and dynamics simulations.: Syzygium aromaticum (L.) Merr. & L.M. Perry is a known spice with a high phytochemical content that can be explored in drug discovery. We investigated the in vitro enzyme inhibitory activities of a flavonoid-rich extract of S. aromaticum (FRESA) against…
• Computational insights into pyridoxal 5-phosphate for cataract therapy: targeting TNF-α, IL-6, and IL-1β through network pharmacology, molecular docking, and dynamics approaches.: This study computationally investigated the effect of pyridoxal 5-phosphate (PLP) interacts with key inflammatory cytokines such as TNF-α, IL-6, and IL-1β implicated in cataract, using network pharmacology, molecular docking, and molecular dynamics…
• Impact of the halogen PB radii in the estimation of protein-ligand binding energies using MM-PBSA calculations.: Halogenation is a widely used strategy in drug design, not only to improve ADME properties but also because halogens can form halogen bonds (XBs) with biological targets. To predict protein-ligand binding free energies (ΔGbind), paramount in drug…
• Mechanistic Investigation of Astragalus Root in the Management of T2DM-NAFLD Comorbidity: An Integrated Network Pharmacology, Molecular Docking, Molecular Dynamics Simulation, and In Vitro Study
• Nanoscaffold-based 3D human liver spheroids for predictive hepatotoxicity screening of antimalarial compounds from the global health priority box.: Drug-induced liver injury (DILI) remains a significant barrier to the safe and efficient use of antimalarial medicines. Many promising compounds fail in late-stage development or post-marketing owing to unforeseen toxicity, particularly DILI. Incorporating…

🗓️ Thursday, Mar 26

• The Isolated Thumb Domain of Acid-Sensing Ion Channels Forms a Minimal Folding Unit Enabling Ligand Binding Studies.: Proton-gated acid-sensing ion channels (ASICs) are emerging therapeutic targets for ischemia-related conditions such as stroke and myocardial infarction. Although structural data exist for ASIC1a, key aspects of ligand recognition and modulation remain…
• Polymerized Short Sequences as a Template for Protein Folding and Evolution.: Repeat proteins, known for their functional versatility and modularity, are focal points of de novo protein design. This study explores and discovers proteins with repeated sequences using evolutionary approaches. Leveraging AlphaFold 2, our initial…
• Molecular docking and in silico analysis of natural lignans as c-Met inhibitors in triple-negative breast cancer.: Triple-negative breast cancer (TNBC) represents a subtype characterized by aggressive behavior and limited treatment options. Lignans, a class of natural chemicals found in plants, have been shown to have anticancer properties. In this study, we evaluated…
• Discovery of ActRIIB antagonistic peptides from in vitro-digested chicken breast meat via an integrated Peptidomics and molecular docking approach: Sarcopenia and obesity are major global health challenges. This study investigated peptides from chicken breast meat via in vitro digestion as potent ActRIIB antagonists to promote myogenesis. The intestinal-phase digest collected at 120 min showed the…
• Exploring Secondary Structure Predictions for RNA-Targeted Drug Discovery: Power and Challenges.: RNAs are increasingly recognized as promising drug targets, as both coding and noncoding RNAs act as key regulators in disease-related biological processes. However, a significant gap persists between the number of known RNA sequences and the solved RNA…
• Indole-Based Curcumin Analogs With Antioxidant and Antitumor Activities: Synthesis, Molecular Docking.: Curcumin, a natural compound with broad pharmacological effects, suffers from low bioavailability due to its unstable β-diketone structure. To address this, we designed novel indole-based curcumin analogs via molecular hybridization, replacing the…
• Sweetness enhancement and mechanism by sweet aroma compounds in the sucrose solution using sensory, electronic tongue, molecular docking, and molecular dynamics simulation
• DeepMIF: A Multiview Interactive Fusion-Based Deep Learning Method for RNA-Small Molecule Binding Affinity Prediction.: Accurately predicting the binding affinity between ribonucleic acid (RNA) and small molecules (RSMA) is crucial for RNA-targeted drug discovery, yet existing computational methods face challenges in fully leveraging multisource feature information and…

🗓️ Friday, Mar 27

• Geometric deep learning assists protein engineering. Opportunities and Challenges.: Protein engineering is experiencing a paradigmatic transformation through the integration of geometric deep learning (GDL) into computational design workflows. While traditional approaches such as rational design and directed evolution have achieved…
• Exploring the Mechanisms of the Traditional Herbal Formula Sanshen Dan Against Myocardial Ischemia-Reperfusion Injury: An Integrated Strategy Combining Serum Pharmacochemistry, Network Pharmacology, and Molecular Docking.: Objective Myocardial ischemia-reperfusion injury (MIRI) is a critical clinical challenge in cardiovascular disease management. Sanshen Dan (SSD), a clinically validated traditional Chinese medicine formula, exerts therapeutic effects on MIRI, but its…
• Identification of crucial genes and biological pathways in lung adenocarcinoma by network pharmacology, molecular docking, and simulation studies: Abstract Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality, largely due to chemoresistance treatment-associated toxicity. This research employed integrated network pharmacology, molecular docking, and molecular dynamics (MD)…
• Based on 3D-QSAR modeling and molecular dynamics of novel peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 inhibitors design and screening.: Background This study investigates the role of peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 (PIN1) in tumorigenesis and evaluates the potential of novel PIN1 inhibitors for cancer therapeutics. The design integrates computational approaches,…
• Network pharmacology refined with non-ubiquity and decoy-controlled molecular docking reveals insights into Moringa oleifera phytochemicals targeting insulin resistance.: Moringa oleifera phytochemicals were predicted to target insulin resistance proteins using a modified network pharmacology and molecular docking approach. Two hundred ninety M. oleifera phytochemicals with their aglycones, acetylase and myrosinase…
• Deciphering Multitarget Mechanisms of Cardiac Glycosides in Acute Myeloid Leukemia Using a Network Pharmacology and Molecular Docking.: Acute myeloid leukemia (AML) remains the most aggressive form of leukemia, underscoring the urgent need for novel treatment strategies. Drug repurposing offers a promising approach to accelerate drug development process. Cardiac glycosides (CGs),…
• Rational discovery of testosterone-enhancing peptide (AGNYGLPT) from sea cucumber: targeting T-type calcium channels through docking, molecular dynamics simulations, and cellular validation: Calcium ions (Ca²⁺) are a crucial signaling factor in testosterone synthesis. This study employed computer-guided peptide screening and mechanism exploration to elucidate how sea cucumber peptide (SCP) promotes testosterone synthesis via Cacna1g (T-type…
• An evaluation of Roluperidone as a promising repurposing candidate for Alzheimer’s Disease: A Computational Investigation.: Alzheimer’s disease (AD) is the most dominant and prevalent form of dementia. The therapeutic agents for AD are not sufficient. Drug repurposing (i.e., also called drug repositioning or therapeutic switching of drugs) could contribute to adding novel…

🛠️ Tools & Datasets

• 🛠 Tool: AlphaFill - Ligand and cofactor transfer into AlphaFold models.
• 🛠 Tool: ReFOLD4 - Sophisticated protein structure refinement tool for improving model quality.
• 💾 Dataset: UniRef - Clustered protein sequence sets for fast similarity searches.
• 💾 Dataset: BFD - Big Fantastic Database for deep learning protein modeling.
• 🛠 Tool: FunFOLD5 - Automated system for protein ligand-binding site prediction and function annotation.
• 💾 Dataset: MGnify - Metagenomics resource for microbiome sequence data.
• 🛠 Tool: MultiFOLD/IntFOLD - High-performance protein structure prediction and quality assessment server.
• 💾 Dataset: PDBbind - Binding affinity data with 3D structures of protein-ligand complexes.
• 🛠 Tool: PyMOL - Gold standard for molecular visualization and publication-quality imaging.
• 💾 Dataset: BioLiP - Verified biologically relevant ligand-protein interactions.
• 🛠 Tool: Chai-1 - Multi-modal foundation model for molecular structure prediction.
• 💾 Dataset: SIFTS - Residue-level mapping between PDB, UniProt, and other resources.

🤖 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
• Protein atlas connects the biological dots underlying neurodegenerative diseases - Medical Xpress: Protein atlas connects the biological dots underlying neurodegenerative diseases    Medical Xpress
• Protein atlas connects the biologic dots underlying neurodegenerative diseases (IMAGE) - EurekAlert!: Protein atlas connects the biologic dots underlying neurodegenerative diseases (IMAGE)    EurekAlert!
• Protein atlas connects the biologic dots underlying neurodegenerative diseases | Newswise - Newswise: Protein atlas connects the biologic dots underlying neurodegenerative diseases | Newswise    Newswise
• Top 5 Technology Trends in Life Sciences - The Assam Tribune: Top 5 Technology Trends in Life Sciences    The Assam Tribune
• How structural biology is reshaping tuberculosis research and treatment - Van Andel Institute: How structural biology is reshaping tuberculosis research and treatment    Van Andel Institute
• Physics-based modelling offers a new way to study drug targets - Drug Target Review: Physics-based modelling offers a new way to study drug targets    Drug Target Review
• The algorithmic inversion of pharma - Express Pharma: The algorithmic inversion of pharma    Express Pharma
• Molecular Biophysics Training Program/Center for Structural Biology seminar with Borden Lacy to be March 31 - Vanderbilt Health News: Molecular Biophysics Training Program/Center for Structural Biology seminar with Borden Lacy to be March 31    Vanderbilt Health News
• How AlphaFold is Driving India’s Life Sciences Industry - Analytics India Magazine: How AlphaFold is Driving India’s Life Sciences Industry    Analytics India Magazine
• AF-pred: a prediction scheme for MHC-II binding peptides based on the prediction of the AlphaFold, along with its validation - EurekAlert!: AF-pred: a prediction scheme for MHC-II binding peptides based on the prediction of the AlphaFold, along with its validation    EurekAlert!
• AlphaFold Can Now Predict Protein Complex Structures at Scale - the-scientist.com: AlphaFold Can Now Predict Protein Complex Structures at Scale    the-scientist.com
• Pet owner saves dog’s life by using ChatGPT and AlphaFold to create cancer vaccine - The Standard (HK): Pet owner saves dog’s life by using ChatGPT and AlphaFold to create cancer vaccine    The Standard (HK)

🏢 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
• COPD Biologics in Practice: Exacerbation Reduction is No Longer Enough - HCPLive: COPD Biologics in Practice: Exacerbation Reduction is No Longer Enough    HCPLive
• After the drought, biotech IPO activity begins to pick up in 2026 - Labiotech.eu: After the drought, biotech IPO activity begins to pick up in 2026    Labiotech.eu
• Genetically modified organism - Medicine, Research, Biotechnology - Britannica: Genetically modified organism - Medicine, Research, Biotechnology    Britannica
• 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
• 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
• insitro, BMS add two more targets to AI-powered ALS partnership - FirstWord Pharma: insitro, BMS add two more targets to AI-powered ALS partnership    FirstWord Pharma
• Theriva Biologics (TOVX) Advances Phase 3 Clinical Trial Plans f - GuruFocus: Theriva Biologics (TOVX) Advances Phase 3 Clinical Trial Plans f    GuruFocus
• Earendil Labs, an AI-powered drugmaker, hauls in $787M - BioPharma Dive: Earendil Labs, an AI-powered drugmaker, hauls in $787M    BioPharma Dive
• AI biotech Earendil announces huge $787M raise, is reportedly considering Hong Kong IPO - Endpoints News: AI biotech Earendil announces huge $787M raise, is reportedly considering Hong Kong IPO    Endpoints News
• JAA - Dove Medical Press: JAA    Dove Medical Press
• The most innovative biotech companies of 2026 - Fast Company: The most innovative biotech companies of 2026    Fast Company
• Opinion: Biotechs Must Face Reality To Succeed in Today’s Funding Environment - BioSpace: Opinion: Biotechs Must Face Reality To Succeed in Today’s Funding Environment    BioSpace
• BMS, insitro add two more targets to AI-powered ALS partnership - FirstWord Pharma: BMS, insitro add two more targets to AI-powered ALS partnership    FirstWord Pharma
• Theriva pushes pancreatic cancer drug VCN-01 toward Phase 3 - Stock Titan: Theriva pushes pancreatic cancer drug VCN-01 toward Phase 3    Stock Titan
• The Risks of Untreated Crohn’s Disease vs. Biologics Side Effects - Everyday Health: The Risks of Untreated Crohn’s Disease vs. Biologics Side Effects    Everyday Health
• Purple Biotech Announces AI Collaboration with Converge Bio to Accelerate Development of its Next-Generation Tri-Specific Antibody Platform - Bitget: Purple Biotech Announces AI Collaboration with Converge Bio to Accelerate Development of its Next-Generation Tri-Specific Antibody Platform    Bitget
• Purple Biotech Announces AI Collaboration with Converge Bio - GlobeNewswire: Purple Biotech Announces AI Collaboration with Converge Bio    GlobeNewswire
• World Vaccine Shippers - Market Analysis, Forecast, Size, Trends and Insights - IndexBox: World Vaccine Shippers - Market Analysis, Forecast, Size, Trends and Insights    IndexBox
• Are Bayesian Statistics Coming to a Clinical Trial Near You? - MedPage Today: Are Bayesian Statistics Coming to a Clinical Trial Near You?    MedPage Today
• Purple Biotech inks AI collaboration with Converge Bio - The Pharma Letter: Purple Biotech inks AI collaboration with Converge Bio    The Pharma Letter
• SK chemicals eyes MASH pipeline in new collaboration with J2H Biotech - koreabiomed.com: SK chemicals eyes MASH pipeline in new collaboration with J2H Biotech    koreabiomed.com

💼 Jobs & Opportunities

• 235 Artificial Intelligence jobs - Academic Positions (Academic Positions)
• ASARI - Postdoctoral Position in Molecular Stress Biology of Opportunity Crops for Arid Regions - Academic Positions (Academic Positions)
• Illumina hiring Senior Bioinformatics Scientist in San Diego, CA - LinkedIn (Bioinformatics Careers)
• Hiring Now: 636 Computational Biology Jobs in Boston, MA – Great Pay & Flexible Hours (March 23, 2026) - Indeed (Indeed Jobs)
• Director of Bioinformatics Jobs, Employment - Indeed (Indeed Jobs)
• Postdoc in Computational Biology & Machine Learning - Academic Positions (Academic Positions)
• Postdoctoral Research Fellow (Bioinformatics) - Academic Positions (Academic Positions)
• College of computing - Postdoctoral fellow in Computational Biology - 10705 - Academic Positions (Academic Positions)
• COLCOM - Postdoctoral Researcher: Genomic Language Models for Bacterial Genomes - Academic Positions (Academic Positions)

📅 Events

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

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