🧬 Weekly Recap

Mar 09 - Mar 13, 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 09

MutPPI+: a multimodal framework for predicting mutation effects on protein-protein interactions via mutation-path-based data augmentation.

🧬 Abstract

Protein-protein interactions (PPIs) are central to cellular signaling and regulation, and their dysregulation underlies many diseases. Predicting the impact of mutations on PPI stability, quantified as ΔΔG, is essential for understanding disease mechanisms and guiding protein engineering. Here, we first present MutPPI, a graph-based deep-learning model that encodes full-residue structural features of protein-protein complexes and employs a shared GIN-GAT feature extractor for wild-type and mutant complexes. MutPPI outperforms 12 existing methods on an antibody-antigen single-point mutation dataset (S645). By integrating evolutionary information from protein language models, we further develop MutPPI-plus, achieving enhanced predictive performance. Second, we proposed a mutation-path-based data augmentation strategy, which enriches input modalities and improves generalization of both MutPPI and MutPPI-plus. After data augmentation, MutPPI-plus demonstrates state-of-the-art performance on S645 and three additional multi-point mutation datasets (SM_ZEMu, SM595, SM1124), substantially surpassing DDMut-PPI. Our analyses highlight the benefits of the multimodal framework and the physically informed data augmentation method. Together, these results provide a versatile computational tool for accurate ΔΔG prediction, advancing rational protein design.

🗓️ Tuesday, Mar 10

scDock: Streamlining drug discovery targeting cell-cell communication via scRNA-seq analysis and molecular docking.

🧬 Abstract

Summary Identifying drugs that target intercellular communication networks represents a promising therapeutic strategy, yet linking single-cell RNA sequencing (scRNA-seq) analysis to structure-based drug screening remains technically challenging and requires substantial bioinformatics expertise. We present scDock, an integrated and user-friendly pipeline that seamlessly connects scRNA-seq data processing, cell-cell communication inference, and molecular docking-based drug discovery. Through a single configuration file, users can execute the complete workflow, from raw scRNA-seq data to ranked drug candidates, without programming skills. scDock automates the identification of disease-relevant ligand-receptor interactions from scRNA-seq data and performs structure-based virtual screening against these communication targets using Protein Data Bank (PDB) or AlphaFold-predicted protein structures. The pipeline generates comprehensive outputs at each stage, enabling users to explore intercellular signaling alterations and discover therapeutic compounds targeting specific cell-cell communications. scDock addresses a critical gap by providing an accessible end-to-end solution for communication-targeted drug discovery from single-cell data. Availability and implementation scDock is freely available at https://doi.org/10.6084/m9.figshare.31370368 and https://github.com/Andrewneteye4343/scDock. It is implemented in R, Python, shell scripts, and supports Linux systems, including Ubuntu and Debian. Supplementary information Supplementary data are available at Bioinformatics online.

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

🗓️ Wednesday, Mar 11

Multispectral, Molecular Docking, and Dynamics Simulation Studies of Secalonic Acid F Binding to Human Serum Albumin.

🧬 Abstract

Secalonic acid F (SAF) is a fungal secondary metabolite with broad pharmacological activities. This study investigated the interaction mechanism between SAF and HSA through multispectral techniques, molecular docking, and molecular dynamics simulations. The results show that SAF effectively reduces the intrinsic fluorescence of HSA through static quenching and forms a stable 1:1 molar ratio SAF-HSA complex. SAF binds to the second domain site of HSA. The binding reaction is a spontaneous, exothermic process driven by enthalpy, mainly stabilized through hydrogen bonds and van der Waals forces. Spectral analysis confirmed an increase in the α-helical structure of HSA upon binding. Molecular docking and molecular dynamics simulations, including analyses of RMSD, RMSF, and Rg, further supported and elucidated the experimental results.

🗓️ Thursday, Mar 12

A multimodal approach integrating spectroscopy, deep learning guided molecular docking, and molecular dynamics simulation for predictive assessment of pioglitazone to albumin binding for formulation development.

🧬 Abstract

Binding affinity is a critical parameter that can influence the state of the drug in vivo and help to define the formulation strategy. The current study implements a multimodal approach to analyse the binding affinity between human serum albumin (HSA) and pioglitazone. Ultraviolet (UV) absorbance and fluorescence spectrometry analyses were performed on different combinations of HSA and pioglitazone complexes, and the absorbance and fluorescence intensities were mapped to calculate the binding constant. DynamicBind, a distinct deep-learning artificial intelligence tool, was implemented to perform in silico docking studies using a non-conventional approach. Furthermore, molecular dynamics simulation was also performed to generate root mean square deviation, radius of gyration, and root mean square fluctuation values, followed by principal component analysis, probability distribution function, and free energy landscape analysis. The simulation output was analysed to interpret the binding affinity and associated conformation of the protein-active pharmaceutical ingredient (API) complex. The binding constant calculated through UV analysis was 1.1 × 10 4 M -1 . Fluorescence spectroscopic analysis derived a value of 1.7 × 10 5 M -1 . At the same time, DynamicBind predicted the cLDDT score for the top predicted model to be 0.634, and a binding affinity value of greater than 5, indicating a relatively moderate binding between pioglitazone and HSA. The results from molecular dynamics simulations further complemented our earlier observations, indicating non-covalent binding interactions and a stable protein-API complex, which is desirable for developing a formulation using HSA as a carrier polymer. This orthogonal approach also provided critical information on the fate of the API and possible considerations that needed to be made during the design of the formulation process, highlighting the need for similar approaches that could provide multifaceted advantages and help in optimising R&D costs and timelines.

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

🗓️ Friday, Mar 13

How to make the most of your masked language model for protein engineering

🧬 Abstract

A plethora of protein language models have been released in recent years. Yet comparatively little work has addressed how to best sample from them to optimize desired biological properties. We fill this gap by proposing a flexible, effective sampling method for masked language models (MLMs), and by systematically evaluating models and methods both in silico and in vitro on actual antibody therapeutics campaigns. Firstly, we propose sampling with stochastic beam search, exploiting the fact that MLMs are remarkably efficient at evaluating the pseudo-perplexity of the entire 1-edit neighborhood of a sequence. Reframing generation in terms of entire-sequence evaluation enables flexible guidance with multiple optimization objectives. Secondly, we report results from our extensive in vitro head-to-head evaluation for the antibody engineering setting. This reveals that choice of sampling method is at least as impactful as the model used, motivating future research into this under-explored area.

📚 All Papers & Quick Reads

🗓️ Monday, Mar 09

• Bind, catalyze, and quantify: a modern protein and enzyme engineering toolbox of genetically encoded non-canonical amino acids.: Non-canonical amino acids (ncAAs) are versatile molecular building blocks that can enhance nearly every aspect of protein engineering, from improving binding affinity to enabling precise quantitative analyses. This review highlights advances from 2020-2025…
• [Exploring the therapeutic targets and molecular mechanisms of pimecrolimus in the treatment of oral lichen planus based on network pharmacology, machine learning, and molecular docking].: Objective: To systematically investigate the potential targets and therapeutic mechanisms of pimecrolimus in the treatment of oral lichen planus (OLP) using network pharmacology, machine learning, and molecular docking approaches. Methods: Pimecrolimus and…
• Indicaxanthin Mitigates Hepatic Ischemia Reperfusion Injury in Rats via Bax/Bcl-2 Modulation: Experimental Evidence Supported by Molecular Docking and Dynamics Simulation.: Indicaxanthin, a prominent betalain pigment known for its bioactivity and safety, has long been valued in traditional medicine for its antioxidant and anti-inflammatory effects. The leading cause of liver failure and dysfunction is hepatic…
• Unraveling the connection between PFOA and bladder cancer: A study integrating network toxicology, molecular docking, and experimental validation.: PFOA, an environmental pollutant linked to bladder cancer, has unclear molecular mechanisms. Integrating transcriptomic data with network toxicology and machine learning, we identified 125 shared genes related to PFOA and bladder cancer. Machine learning…
• MutPPI+: a multimodal framework for predicting mutation effects on protein-protein interactions via mutation-path-based data augmentation.: Protein-protein interactions (PPIs) are central to cellular signaling and regulation, and their dysregulation underlies many diseases. Predicting the impact of mutations on PPI stability, quantified as ΔΔG, is essential for understanding disease mechanisms…
• Potential anti-glioma targets and mechanisms of Smilax china L. based on network pharmacological, molecular docking and experimental verification.: Glioma, the most common primary malignant brain tumor, urgently requires effective treatments. Traditional Chinese herbal medicine, with its multi-target and low side effects, shows potential in anti-tumor treatment. Smilax china L. (SCL) resists various…
• Thymbra spicata extracts against soilborne fungi: linking chemical composition, antifungal activity, and molecular docking insights.: In this study, the antifungal activities of essential oil, supercritical carbon dioxide (SC-CO₂) extract, methanol extract, and SC-CO₂+ethanol extract obtained from Thymbra spicata L. were evaluated in vitro against the soilborne fungal pathogens…
• Exploring the Molecular Mechanism of Shaoyao Gancao Decoction for Trigeminal Neuralgia Based on Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation

🗓️ Tuesday, Mar 10

• Phytochemical Profiling, Antioxidant, and Broad-Spectrum Antimicrobial Activities of Origanum vulgare Essential Oil with Molecular Docking and ADME Insights.: This study evaluated the chemical composition, antimicrobial, antioxidant, and pharmacological properties of Origanum vulgare essential oil (OVEO). Gas chromatography-mass spectrometry (GC-MS) identified carvacrol (50%), γ-terpinene (13.5%), thymol (9.5%),…
• Inhibitory effects of three genuine resin glycosides from Calystegia hederacea on in vitro porcine lipase assay and in silico docking simulation analysis.: Resin glycosides are characteristically present in Convolvulaceae plants. We recently demonstrated that three genuine resin glycosides, muricatins V, VI, and IX, from the seeds of Ipomoea muricata, inhibit lipase. This study investigated whether the resin…
• MML-DTI: Multimanifold Learning with Hyperbolic Graph Neural Networks for Enhanced Drug-Target Interaction Prediction.: Accurately predicting drug-target interactions (DTIs) is crucial for drug discovery, repositioning. However, most deep learning-based DTI models are designed in Euclidean space, making it difficult to effectively represent the hierarchical and scale-free…
• mSphere of Influence: The power of in situ-structural biology without leaving “home”.: Nicholas A. Wood works in the field of biophysics with an emphasis on in situ protein structures in microbiological systems. In this mSphere of Influence article, he reflects on the power and limitations of AlphaFold, open questions in structural biology,…
• Benzo[d]imidazole anchored oxadiazole derivatives: synthesis, characterization, biological evaluation, in silico docking and ADME-T analysis.: A novel series of 1,2,4-oxadiazoles based on benzo[d]imidazole-1,3,4-oxadiazole fused 1,2,4-oxadiazoles, were synthesised. The proposed chemical structures of the novel hybrids were confirmed by a variety of spectroscopic methods, including HRMS, NMR…
• Novel phenylamino pyrimidine derivatives as potent and selective inhibitors of ABL1 tyrosine kinase for targeted anticancer therapy.: Phenyl amino pyrimidine (PAP) derivatives represent a promising scaffold in anticancer drug discovery due to their potential to selectively inhibit tyrosine kinase (TK) enzymes implicated in tumor progression. In the present study, we designed a focused…
• In vitro bioactivities and molecular docking analysis of methanolic extract from Phoenix dactylifera L. (cv. Ghars) seeds.
• Integrated network toxicology and transcriptomics analysis reveals the pathogenic mechanisms in DBP/MBP-induced MASLD/MASH.: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and Metabolic Dysfunction-Associated Steatohepatitis (MASH) are challenging public health worldwide, with multifactorial pathogenic mechanisms. This study systematically employed network…

🗓️ Wednesday, Mar 11

• Study on the Potential Molecular Mechanisms of Sodium Dehydroacetate (Na-DHA) Interfering With Bone Metabolism and Inducing Osteoporosis Based on Network Toxicology, Molecular Docking, and In Vitro Experimental Validation.: Sodium Dehydroacetate (Na-DHA), a widely used food additive, has raised concerns about the chronic health risks associated with long-term exposure. However, the potential impact of Na-DHA on bone metabolism, its contribution to osteoporosis risk, and the…
• Multispectral, Molecular Docking, and Dynamics Simulation Studies of Secalonic Acid F Binding to Human Serum Albumin.: Secalonic acid F (SAF) is a fungal secondary metabolite with broad pharmacological activities. This study investigated the interaction mechanism between SAF and HSA through multispectral techniques, molecular docking, and molecular dynamics simulations….
• Utilizing Molecular Docking to Investigate Some Phenolic Acid Phytochemical Interactions with Platelet Aggregation Pathway Proteins.: <b>Background and Objective:</b> Platelet aggregation plays a critical role in hemostasis and thrombosis and its dysregulation can lead to cardiovascular disorders such as stroke and myocardial infarction. Phytochemicals derived from plants…
• Design, Synthesis, and Characterization of Novel 1,3,4-Thiadiazole-Benzo[b]Oxepine Derivatives: Study of Their Antiproliferative Activity, Docking, DFT, and ADME-T Properties.: Driven by the urgent need for novel anticancer agents capable of overcoming limitations associated with conventional therapies, a new series of benzo[b]oxepine derivatives featuring 1,3,4-thiadiazole (5a-5k) linkers was successfully produced through a…
• Integrated multi-target pharmacology of ginseng in acute myeloid leukemia through single-cell sequencing, molecular docking, network pharmacology, and in vitro experiments.
• Integrated experimental and computational insights into the anti-inflammatory potential of flower-derived exosome-like nanoparticles targeting the NF-κB pathway.: Introduction Dysregulated inflammation underlies numerous chronic pathologies, with the NF-κB p65-p50 heterodimer acting as a pivotal transcriptional regulator that mediates different inflammatory responses. Consequently, inhibiting NF-κB nuclear…
• Investigating the Structural Basis of Diacetyl Recognition by the G-Protein-Coupled Receptor ODR-10 in <i>Caenorhabditis elegans</i>.: G-protein-coupled receptors (GPCRs) are among the most versatile molecular sensors in biology, capable of sensing and responding to a wide range of molecules and serving as key targets in drug discovery. In Caenorhabditis elegans , the GPCR ODR-10 is…
• Deciphering the acute toxicity mechanisms of PFAS in algae: A molecular descriptor and binding energy hierarchy perspective.: Per- and polyfluoroalkyl substances (PFASs) are globally persistent pollutants, yet their molecular mechanisms of toxicity in aquatic organisms remain unclear. To elucidate the molecular mechanisms of perfluorocarboxylic acid (PFCA) toxicity in algae, we…

🗓️ Thursday, Mar 12

• GC-MS phytochemical screening, molecular docking, MD simulation, and in vitro antioxidant assay of Euphorbia thymifolia L. extract.: Euphorbia thymifolia L., a medicinal herb traditionally recognized for its many medicinal properties, was investigated in the present study to evaluate the antioxidant potential of its hexane fraction and to elucidate its possible mechanism of action…
• Synthesis of acyl hydrazide derivatives of α-naphthalene acetic acid as COX-2 inhibitors: in vitro evaluation, molecular docking and DFT studies.: Cyclooxygenase-2 (COX-2) is a key enzyme in pain perception and inflammatory cascade that make it an attractive target to develop safer anti-inflammatory agents. In pursuit of potential anti-inflammatory agents, a new series based on α-naphthalene acetic…
• Bioactivity profiling of Cornus mas L. leaf, bark, and fruit extracts from different locations in Bosnia and Herzegovina with molecular docking studies.: Cornus mas L. is traditionally used for various medicinal purposes, although systematic data on its pharmacognostic properties are still limited. Considerable variation was observed among plant organs, so phenolic and flavonoid content varied by plant…
• Deep contrastive learning enables genome-wide virtual screening.: Recent breakthroughs in protein structure prediction have opened new avenues for genome-wide drug discovery, yet existing virtual screening methods remain computationally prohibitive. We present DrugCLIP, a contrastive learning framework that achieves…
• CF2H: a cell-free two-hybrid platform for rapid protein binder screening.: Protein binders that detect, activate, inhibit, or otherwise modulate their targets are pivotal for biomedical applications. With the increasing accuracy and accessibility of de novo protein design, faster and cheaper experimental screening methods would…
• Computational analysis of umami and bitter taste interactions: orthogonality in receptor-ligand binding.: We investigated the in silico binding of ligands relevant to the bitter taste in wine (flavan-3-ol) and the umami taste (glutamate) with bitter and umami receptors (T1R1 and T2R). The binding energies for the binding sites of the receptors were calculated…
• Mechanistic insights into Grifola frondosa-driven fermentation of Rice-wheat bran: Metabolomic profiling, molecular dynamics, and enhanced antioxidant efficacy.: Rice bran (RB) and wheat bran (WB) are rich in bioactives but poorly utilized due to limited bioaccessibility. Here, a fungal fermentation strategy was developed to valorize RB-WB blends. A novel fermented product (FRBWB) was obtained via Grifola frondosa…
• Generative Protein Design for Physiological Intervention: Progress and Horizons.

🗓️ Friday, Mar 13

• Establishing FDA-approved oncology drugs as GPR176 inhibitor through homology modelling, molecular docking, MMGBSA, DFT, and molecular dynamics simulation.
• How to make the most of your masked language model for protein engineering: A plethora of protein language models have been released in recent years. Yet comparatively little work has addressed how to best sample from them to optimize desired biological properties. We fill this gap by proposing a flexible, effective sampling…
• Needle-in-a-haystack approach: rapid screening of PDE1C inhibitors through the combination of machine learning, molecular docking, molecular dynamics simulations and experimental validation.
• Structure-based computational screening and molecular dynamics reveal potential inhibitors of Norovirus VP1 and RdRp Proteins: an in-silico study: Abstract Norovirus is recognized as a pathogen with pandemic potential, exhibiting a higher fatality rate in low-income countries, particularly affecting young children. Currently, vaccine or specific antiviral treatment for norovirus is lacking. For…
• Protein Counterfactuals via Diffusion-Guided Latent Optimization: Deep learning models can predict protein properties with unprecedented accuracy but rarely offer mechanistic insight or actionable guidance for engineering improved variants. When a model flags an antibody as unstable, the protein engineer is left without…
• aGPCR-HEK: A Stable High-Expression Inducible Mammalian Cell Expression System for Adhesion GPCR Structural Biology Applications.: ADGRL4 is an adhesion G protein-coupled receptor (aGPCR) implicated in multiple tumours. In our experience, conventional insect cell-based baculovirus expression systems have not yielded sufficient correctly folded ADGRL4 protein for purification and…
• Sulfonic Acid Group Docking Synthesis of Platinum Clusters in MOFs Cavity Enables Low-Temperature Stable Selective CO2 Hydrogenation to Methanol.: Platinum (Pt) nanoparticles favor the hydrogenation of CO2 to CO, presenting a significant challenge for value-added methanol synthesis. Herein we report a sulfonic acid group docking strategy for the gram-scale synthesis of monodispersed Pt clusters…
• A Modified Paraspinal Approach for Full-Endoscopic Discectomy for Far Lateral Disc Herniations: Docking at the Caudal Level Transverse Process.: The use of least invasive full-endoscopic spine systems has decreased the amount of tissue dissection, blood loss, and duration of post-operative recovery after intervention for far-lateral disc herniations (FLDH). In this technique, docking over the…

🛠️ Tools & Datasets

• 🛠 Tool: AlphaFold2 - Deep learning system for high-accuracy protein structure prediction.
• 🛠 Tool: ColabFold - Fast AlphaFold2/MMseqs2 pipeline for large-scale predictions.
• 💾 Dataset: UniRef - Clustered protein sequence sets for fast similarity searches.
• 💾 Dataset: BFD - Big Fantastic Database for deep learning protein modeling.
• 🛠 Tool: RoseTTAFold - End-to-end neural network for protein structure prediction.
• 💾 Dataset: MGnify - Metagenomics resource for microbiome sequence data.
• 🛠 Tool: ESMFold - Language-model-based protein structure prediction from sequences.
• 💾 Dataset: PDBbind - Binding affinity data with 3D structures of protein-ligand complexes.
• 🛠 Tool: OmegaFold - Structure prediction from single sequences with rapid inference.
• 💾 Dataset: BioLiP - Verified biologically relevant ligand-protein interactions.
• 🛠 Tool: Foldseek - Ultra-fast structural search and clustering engine.
• 💾 Dataset: SIFTS - Residue-level mapping between PDB, UniProt, and other resources.

🤖 AI in Research Recap

• Science & Medicine: APOBECs and the fight against cancer - Texas Public Radio | TPR: Science & Medicine: APOBECs and the fight against cancer    Texas Public Radio | TPR
• KAIST Develops AI That Predicts Drug Efficacy, Surpassing AlphaFold’s Capabilities - en.sedaily.com: KAIST Develops AI That Predicts Drug Efficacy, Surpassing AlphaFold’s Capabilities    en.sedaily.com
• AI model predicts whether drugs activate or inhibit protein function - 동아사이언스: AI model predicts whether drugs activate or inhibit protein function    동아사이언스
• AI Core Engine Unchanged Since AlphaGo Era - 조선일보: AI Core Engine Unchanged Since AlphaGo Era    조선일보
• Accelerating Structure-based Drug Design for Complex Membrane Proteins - The Medicine Maker: Accelerating Structure-based Drug Design for Complex Membrane Proteins    The Medicine Maker
• Oligomeric symmetrical scaffolds for resolving RNA structures by cryoEM - Nature: Oligomeric symmetrical scaffolds for resolving RNA structures by cryoEM    Nature
• Egg Cells & Sperm: New Emerging Fields Project - Institute of Science and Technology Austria (ISTA): Egg Cells & Sperm: New Emerging Fields Project    Institute of Science and Technology Austria (ISTA)
• AI drug discovery model surpasses AlphaFold by predicting if drugs work - Nanowerk: AI drug discovery model surpasses AlphaFold by predicting if drugs work    Nanowerk
• Keynote Presentation: The Development and Application of Engineering Principles Governing Binding Protein Interactions w/ Live Q&A - Labroots: Keynote Presentation: The Development and Application of Engineering Principles Governing Binding Protein Interactions w/ Live Q&A    Labroots
• A Tenfold Increase in a Decade? What Makes This Small Biotech Company So Special - NAI500: A Tenfold Increase in a Decade? What Makes This Small Biotech Company So Special    NAI500
• AI-Enabled Quantum Refinement Advances Protein Structure Determination for Structural Biology - Lab Manager: AI-Enabled Quantum Refinement Advances Protein Structure Determination for Structural Biology    Lab Manager
• Reverse vaccinology 3.0 - Nature: Reverse vaccinology 3.0    Nature
• Hassabis marks 10 years since AlphaGo, touts move 37 and push to AGI - CHOSUNBIZ - Chosunbiz: Hassabis marks 10 years since AlphaGo, touts move 37 and push to AGI - CHOSUNBIZ    Chosunbiz
• Sovereign AI Launches £500M Venture Fund To Support AI Founders - Quantum Zeitgeist: Sovereign AI Launches £500M Venture Fund To Support AI Founders    Quantum Zeitgeist

🏢 Industry & Real-World Applications

• Study finds earlier asthma biologics in children cut severe attacks most - Medical Xpress: Study finds earlier asthma biologics in children cut severe attacks most    Medical Xpress
• UPDATE: Alltrna CEO exits as biotech undergoes third layoff round before entering clinic - Fierce Biotech: UPDATE: Alltrna CEO exits as biotech undergoes third layoff round before entering clinic    Fierce Biotech
• Bourla vs. Prasad: Is Pfizer Defending Science or Defending Its Pipeline? - The Clinical Trial Vanguard: Bourla vs. Prasad: Is Pfizer Defending Science or Defending Its Pipeline?    The Clinical Trial Vanguard
• Layoff Tracker: Alltrna’s Clinical Acceleration Aims Leave 35% of Staff Behind - BioSpace: Layoff Tracker: Alltrna’s Clinical Acceleration Aims Leave 35% of Staff Behind    BioSpace
• Cell therapy weekly: cell therapy for vision loss progresses to clinical trial - RegMedNet: Cell therapy weekly: cell therapy for vision loss progresses to clinical trial    RegMedNet
• EuropaBio Will Hold Webinar on Navigating Biotech SME Funding in Europe - Bergeson & Campbell, P.C.: EuropaBio Will Hold Webinar on Navigating Biotech SME Funding in Europe    Bergeson & Campbell, P.C.
• How AMSilk and Balenciaga are bringing biotech to luxury fashion - Springwise: How AMSilk and Balenciaga are bringing biotech to luxury fashion    Springwise
• AI in Biotechnology Market Size, Share, Growth | CAGR of 19.3% - Market.us Media: AI in Biotechnology Market Size, Share, Growth | CAGR of 19.3%    Market.us Media
• Vinay Prasad Set to Leave CBER for Second Time | PharmExec - Pharmaceutical Executive: Vinay Prasad Set to Leave CBER for Second Time | PharmExec    Pharmaceutical Executive
• AI Meets Biotech The High Stakes IPO of Generate Biomedicines – The Stillman Exchange - TLTC Blogs |: AI Meets Biotech The High Stakes IPO of Generate Biomedicines – The Stillman Exchange    TLTC Blogs |
• UPDATE: Alltrna CEO exits as biotech undergoes 3rd layoff round before entering clinic - Fierce Biotech: UPDATE: Alltrna CEO exits as biotech undergoes 3rd layoff round before entering clinic    Fierce Biotech
• 13 anti-aging biotech companies to watch in 2026 - Labiotech.eu: 13 anti-aging biotech companies to watch in 2026    Labiotech.eu
• New biotech partnership aims to accelerate stem cell therapies for heart disease - News-Medical: New biotech partnership aims to accelerate stem cell therapies for heart disease    News-Medical
• Tsingke Biotech and iGeneTech Forge Strategic Partnership to Lead Synthetic Biology Advancements - PR Newswire: Tsingke Biotech and iGeneTech Forge Strategic Partnership to Lead Synthetic Biology Advancements    PR Newswire
• Pfizer’s trispecific heads to Phase III on mid-stage AD success - Clinical Trials Arena: Pfizer’s trispecific heads to Phase III on mid-stage AD success    Clinical Trials Arena
• 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
• After touching the $1T club, Eli Lilly CEO David Ricks is making the moves to stay there - Endpoints News: After touching the $1T club, Eli Lilly CEO David Ricks is making the moves to stay there    Endpoints News
• Decoy Therapeutics Enters Strategic Partnership with Quantori to Deploy Google Cloud-native Integrated AI-Driven Peptide Design and Molecular Simulation Platform - PR Newswire: Decoy Therapeutics Enters Strategic Partnership with Quantori to Deploy Google Cloud-native Integrated AI-Driven Peptide Design and Molecular Simulation Platform    PR Newswire
• Senator to Investigate FDA Rejections of Biologics, Gene Therapies - MedPage Today: Senator to Investigate FDA Rejections of Biologics, Gene Therapies    MedPage Today
• 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
• 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
• Samsung Biologics Announces Collaboration with Lilly to Establish New Gateway Labs Site in Korea - BioSpace: Samsung Biologics Announces Collaboration with Lilly to Establish New Gateway Labs Site in Korea    BioSpace

💼 Jobs & Opportunities

• Principal Scientist – Structural Biology - Indeed UK (Indeed Jobs)
• Bioinformatics Engineer — Spatial AI - Indeed (Indeed Jobs)
• LatchBio hiring Bioinformatics Engineer — Spatial AI in San Francisco Bay Area - LinkedIn (Bioinformatics Careers)
• Henlius USA Inc. hiring AIDD/CADD Computational Biology Scientist in California, United States - LinkedIn (Bioinformatics Careers)
• PhD Studentship: Integrating High-Throughput Biophysics and Structural Biology for Accelerated Molecular Discovery - Jobs.ac.uk (Jobs.ac.uk)
• Research Associate in Structural Biology at Imperial College London - Jobs.ac.uk (Jobs.ac.uk)
• Data Steward (Preclinical field) - Workable (Workable)
• Bioinformatics Data Analyst II - Indeed (Indeed Jobs)
• Bioinformatics Software Engineer - Indeed (Indeed Jobs)

📅 Events

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

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