🧬 Weekly Recap

Mar 02 - Mar 06, 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 02

Hybrid Computational Framework Integrating Ensemble Learning, Molecular Docking, and Dynamics for Predicting Antimalarial Efficacy of Malaria Box Compounds.

🧬 Abstract

The emergence of drug-resistant strains of Plasmodium falciparum continues to challenge global malaria control efforts, underscoring the urgent need for novel therapeutic strategies. In this study, we present an integrative computational framework that combines ensemble machine learning, molecular docking, and molecular dynamics simulations to predict and characterize the antimalarial activity of compounds from the Malaria Box database. Initially, topographical and quantum mechanical descriptors were used to construct regression models for predicting pEC 50 values, but due to the limited predictive performance in the global regression, a classification strategy was adopted, categorizing compounds into “active” and “very active” classes. The best ensemble classifier achieved robust performance (Acc 10 -fold = 0.738, Acc ext = 0.675), with good sensitivity and specificity over individual models. Subsequent regression modeling within each class yielded high predictive accuracy, with ensemble models reaching Q 2 10-fold values of 0.810 and 0.793 for the very active and active classes, respectively. To explore potential mechanisms of action, molecular docking was performed against P. falciparum Cytochrome B, revealing strong binding affinities for most compounds, particularly those forming π-π stacking and hydrogen bonds with Glu272. Molecular dynamics simulations over 200 ns confirmed the stability of several ligand-protein complexes, including unexpected behavior from compound M31, which demonstrated stable binding despite poor docking scores, suggesting a possible competitive inhibition mechanism. Binding free energy calculations further validated these findings, highlighting several promising candidates for future experimental evaluation. This integrative approach offers a powerful platform for accelerating antimalarial drug discovery by combining predictive modeling with mechanistic insights.

🗓️ Tuesday, Mar 03

Development of DHODH inhibitors incorporating virtual screening, pharmacophore modeling, fragment-based optimization methods, ADMET, molecular docking, molecular dynamics, PCA analysis, and free energy landscape.

🧬 Abstract

The overexpression of dihydroorotate dehydrogenase (DHODH) in various malignant tumor cells is significantly associated with ferroptosis, making DHODH inhibition a promising strategy for cancer therapy. In this study, we employed an integrated approach to screen and optimize DHODH inhibitor candidates. First, virtual screening of the FDA-approved drug library identified 20 potential compounds (with the positive control AG-636 as a benchmark, docking score: 133.166). Subsequent pharmacophore modeling (ROC curve value >0.8) further narrowed the candidates to six compounds, which underwent fragment displacement optimization. All optimized compounds were evaluated for absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. Molecular docking identified compounds 65:[(4S)-2,2-dimethyl-1,3-dioxolan-4-yl]methyl 3-(4-{[(2S)-2-hydroxypropyl]oxy}phenyl) (docking score: 197.362) and 66: [(4S)-2,2-dimethyl-1,3-dioxolan-4-yl]methyl 4-(4-{[(2S)-2-hydroxypropyl]oxy}phenyl) (docking score: 202.623) as high-affinity candidates. Molecular dynamics (MD) simulations, principal component analysis (PCA), and free energy landscape (FEL) analyses confirmed stable binding conformations for both compounds. Notably, compound 66: [(4S)-2,2-dimethyl-1,3-dioxolan-4-yl]methyl 4-(4-{[(2S)-2-hydroxypropyl]oxy}phenyl) exhibited minimal conformational changes, suggesting superior binding stability. This study advances compound 66: [(4S)-2,2-dimethyl-1,3-dioxolan-4-yl]methyl 4-(4-{[(2S)-2-hydroxypropyl]oxy}phenyl) as a promising DHODH inhibitor candidate through a multimodal workflow integrating structure-based pharmacophore design, fragment optimization, ADMET profiling, and advanced molecular simulations, providing a novel avenue for DHODH-targeted antitumor therapies.

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

🗓️ Wednesday, Mar 04

Anomalous Effect of Denaturant on Protein Unfolding Dynamics Revealed by Single Molecule Manipulation Experiments.

🧬 Abstract

High temperatures and chemical denaturants in bulk experiments, as well as mechanical forces in single-molecule studies, typically promote protein unfolding. In this study, we report an unexpected decrease in the unfolding rate of cold shock protein (Csp) at low concentrations of guanidine hydrochloride (GuHCl) in single-molecule magnetic tweezers experiments. This behavior contrasts with that of control protein GB1, which unfolds faster under the same denaturing conditions. Steered molecular dynamics (SMD) simulations indicate that stretching force applied to the N- and C-termini of Csp triggers an allosteric conformational change, converting loop regions into β-strands and reducing the solvent-accessible surface area (SASA). The combination of experimental and simulation data suggests that the unfolding transition state of Csp has a smaller SASA than that of the native state, providing a structural explanation for the observed kinetic anomaly. These results demonstrate that allosteric conformational or dynamical changes, triggered by mechanical or chemical perturbations, can render proteins resistant to denaturation by lowering their unfolding rates, thereby conferring resistance to environmental stress.

🗓️ Thursday, Mar 05

Investigation of the potential mechanism by which methylparaben induces psoriasis: an integrated study using network toxicology, molecular docking, molecular dynamics simulation, and eight machine learning algorithms.

🧬 Abstract

Psoriasis is a chronic inflammatory skin disease with limited safe and effective treatments. Methylparaben, a widely used preservative in cosmetics, pharmaceuticals, and food, is an emerging environmental pollutant linked to immune-related skin disorders, but its role and mechanism in psoriasis remain unclear. This study explored its potential mechanism using network toxicology, molecular docking, molecular dynamics simulation, and eight machine learning algorithms. Methylparaben targets were retrieved from GeneCards and TCMSP, and psoriasis-related targets from CTD and GeneCards. Overlapping targets were screened with Venny 2.1.0. A PPI network was constructed via STRING, and core targets identified using Cytoscape 3.10.2. GO and KEGG enrichment analyses were performed on DAVID. Molecular docking evaluated the binding affinity of methylparaben with key targets. A total of 138 compound-related and 5,592 psoriasis-related targets were identified. Core targets such as INS, HIF1A, and PPARG are involved in regulating immune-inflammatory responses, keratinocyte proliferation and differentiation, and oxidative stress. GO analysis revealed enrichment in xenobiotic metabolism, lipopolysaccharide response, and metal ion binding. KEGG analysis highlighted pathways related to cancer, chemical carcinogenesis from reactive oxygen species, and drug metabolism via cytochrome P450 enzymes. Molecular docking showed stable binding of methylparaben to INS (-4.5 kcal/mol), HIF1A (-5.9 kcal/mol), and PPARG (-5.5 kcal/mol), primarily through hydrogen bonds and hydrophobic interactions. Methylparaben may exert its effects on psoriasis via multi-target and multi-pathway mechanisms, influencing inflammation, oxidative stress, and cellular regulation. These findings provide valuable insight into its toxicological mechanism and potential therapeutic application.

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

🗓️ Friday, Mar 06

Identification of Bioactive Ingredients and Mechanistic Pathways of Xuefu Zhuyu Decoction in Ventricular Remodeling: A Network Pharmacology, Molecular Docking and Molecular Dynamics Simulations.

🧬 Abstract

Background Xuefu Zhuyu Decoction (XFZYD) is clinically used in China to promote blood circulation, resolve blood stasis, and alleviate ventricular remodeling (VR). However, its molecular mechanisms remain unclear. Objective This study investigates the active components and underlying molecular mechanisms of XFZYD in treating VR. Methods Targets of XFZYD’s active components and VR-related targets were identified. A protein-protein interaction (PPI) network and a drug-ingredient-target network were constructed. GO functional annotation and KEGG pathway enrichment analysis were performed to explore biological functions. Hub targets and their corresponding active ingredients were validated through molecular docking and molecular dynamics (MD) simulations. Results A total of 1,089 active ingredients with high gastrointestinal absorption (GI) and drug-likeness (DL ≥ 2) were identified. Five hundred and thirty-eight common targets were shared between XFZYD and VR, with 10 core targets, including AKT1, STAT3, TP53, EGFR, SRC, TNF, MAPK3, CTNNB1, IL6, and VEGFA. GO analysis revealed XFZYD’s influence on wound healing, oxygen response, epithelial cell proliferation, and receptor signaling. KEGG analysis highlighted key pathways such as PI3K-Akt signaling, lipid and atherosclerosis, and fluid shear stress. Molecular docking revealed that active ingredients display favorable interactions with the hub genes, with binding energies from -9.5 to -6.0 kcal/mol. These interactions were further validated through MD simulations, demonstrating stable binding throughout the 100 ns simulation period. Conclusion XFZYD exhibits therapeutic effects on VR through multiple active components and pathways, providing a scientific basis for its clinical application and further research.

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

📚 All Papers & Quick Reads

🗓️ Monday, Mar 02

• Unveiling the Small Molecules Binding Site of CD36 Cell Surface Receptor Through Docking and Molecular Dynamics Simulations.: CD36 is a transmembrane glycoprotein involved in lipid uptake and signal transduction, playing a crucial role in various physiological and pathological processes. Structurally, it is composed primarily of an ectodomain (residues 30-439), which is essential…
• Hybrid Computational Framework Integrating Ensemble Learning, Molecular Docking, and Dynamics for Predicting Antimalarial Efficacy of Malaria Box Compounds.: The emergence of drug-resistant strains of Plasmodium falciparum continues to challenge global malaria control efforts, underscoring the urgent need for novel therapeutic strategies. In this study, we present an integrative computational framework that…
• Identification of Novel Extracellular-Signal-Regulated Kinase 2 Inhibitors Through Machine Learning-Driven De Novo Design, Molecular Docking, and Free-Energy Perturbation.: Background : The extracellular-signal-regulated kinase (ERK) cascade regulates cell proliferation, differentiation, and survival, and ERK2 mediates substrate phosphorylation, influencing gene expression and cellular functions. Methods : In the current…
• Potential inhibitors of Dipeptidyl Peptidase IV dependent from Moroccan phytocompound: molecular docking, molecular dynamics simulations, and MM-PBSA analyses: Type 2 Diabetes Mellitus (T2DM) is the most prevalent form of diabetes and is characterized by beta-cell dysfunction and reduced insulin sensitivity. Dipeptidyl peptidase IV (DPP-IV) has emerged as a pivotal target in the development of antihyperglycemic…
• Computational insights into Ru(II)-coumarin complexes as potential anticancer agents: a DFT, QTAIM, NCI-RDG, molecular docking and molecular dynamics approach.: Ru(II) complexes have been explored as promising candidates for novel anticancer agents, due to their significant bioactivity, selective cytotoxicity, and ability to induce apoptosis via multiple signalling pathways, with coumarin derivatives serving as…
• Evaluation of the mechanism underlying melatonin action in cholestatic liver disease treatment via network pharmacology, molecular docking, and in vivo experiments.: The aim of this study was to investigate the mechanism underlying the action of melatonin (MT) in treating cholestatic liver disease. Melatonin and therapeutic targets for cholestatic liver disease were screened. A protein-protein interaction network was…
• In Silico discovery of GES-5 inhibitors via molecular docking, molecular dynamics simulation studies, and ADMET prediction.: The emergence of multidrug-resistant Enterobacteriaceae represents a major threat to global public health. Among the key resistance mechanisms, the production of β-lactamases enzymes that hydrolyze the β-lactam ring plays a central role in compromising…
• In Silico Identification of Antihypertensive Phytoconstituents in Terminalia arjuna via Molecular Docking, MD Simulation, and DFT Analysis.: Hypertension is a major global health concern, and the exploration of natural compounds as potential antihypertensive agents has been a recent area of study.. The ancient medicinal tree Terminalia arjuna is very potent for treating cardiovascular…

🗓️ Tuesday, Mar 03

• Gene Expression, Docking and Machine Learning in Malaria Drug Discovery: A Systematic Review.: Background Malaria remains a significant and worldwide health threat with increasing resistance to current treatments, stimulating the demand for innovative approaches in pursuing drug discovery. This systematic review integrates the progress made from…
• Molecular docking and dynamics simulations identify marine sponge-derived Halenaquinone as a promising STAT4 modulator for rheumatic heart disease.: This study aimed to investigate the interaction potential of sponge metabolites towards signal transducer and activator of transcription 4 (STAT4), one of the potential targets related with rheumatic heart disease (RHD). Out of 100 sponge molecules…
• Harnessing AI to Decode Protein Kinases: Structural, Functional, and Therapeutic Design Perspectives.: Recent advances in Artificial Intelligence (AI) are reshaping kinase research by uncovering complex regulatory mechanisms and accelerating drug discovery. These advances have enabled the capture of elusive allosteric transitions and transient cryptic…
• Network pharmacology and molecular docking to explore the potential mechanism of Codonopsis pilosula delaying aging.: Background Codonopsis pilosula (CP), a traditional Chinese medicine, holds considerable potential in antioxidant and antiaging properties, however, the antiaging mechanism of its active components have been scarcely documented. Methods Network pharmacology…
• Unveiling the potential of apigenin and kaempferol against colon cancer: an integrated network pharmacology and docking approach.: Colon cancer is one of the prevalent and deadly malignancies, requiring advanced treatment strategies. IMPPAT database, drug-likeliness, bioavailability scores, and Lipinski/Ghosh rules were utilized to screen the phytochemicals. STITCH,…
• Elucidating the mechanism of cefpodoxime-BSA interaction via a combination of multi-spectroscopic methods and molecular docking simulations.: This research provides a comprehensive elucidation of the molecular interaction between cefpodoxime (CFP) and bovine serum albumin (BSA) through an integrated approach combining computational docking and a suite of spectroscopic methods. Initial evidence…
• Molecular Docking, DFT, and Structural Characterization of Cr(III), Mn(II), and Fe(III) Mixed-Ligand Complexes With Nifuroxazide and 4-Chloro-Pyridine-2-Carboxylic Acid: New Perspectives on Antibacterial and Anti-Inflammatory Activity.: The development of metal-based therapeutics offers a promising strategy to overcome antimicrobial resistance and enhance anti-inflammatory efficacy. In this study, three new mixed-ligand complexes of Cr(III), Mn(II), and Fe(III) with nifuroxazide (NF) and…
• DecoyFinderNetAna: Application of Graph Convolution Neural Networks for Accurate Classification of True Small Molecule Binders from their Decoys.: Introduction The drug discovery pipeline faces significant challenges, often requiring extensive screening to differentiate between true ligands and decoys. Computational biology techniques, particularly those involving deep learning, have increasingly…

🗓️ Wednesday, Mar 04

• Orexin 2 receptor crosstalk with GLP1-R reveals dual therapy for improvement of sleep deprivation-induced obesity: an integrated network pharmacology, molecular docking and molecular dynamics simulation approach.
• Exploring the potential mechanisms of hydroquinone on bladder cancer using network toxicology, Mendelian randomization analysis, molecular docking, and molecular dynamics simulations.
• Phytoconstituents of Gmelina Arborea as Potential Breast Cancer Inhibitors: LC-MS/MS, Docking, MD Simulations, and In Vitro Evaluation.: Breast cancer remains one of the leading causes of cancer-related mortality in women, emphasizing the urgent need for safer and more effective therapeutic agents. Natural phytochemicals, due to their structural diversity and pharmacological potential, are…
• Bioinformatics-Driven Target Discovery in Skin Photoaging and Preliminary Validation of the Natural Compound Acteoside: Abstract Objective To identify differentially expressed genes (DEGs), key pathways, and potential active compounds associated with skin photoaging using bioinformatics approaches, and to validate the interventional effects and molecular mechanisms of…
• The pivotal role of NF-κB in polymyxin B toxicity: insights from integrated network toxicology and experimental assays.: Polymyxin B remains a first-line therapeutic option against Gram-negative bacterial infections; however, its clinical utility is substantially limited by dose-limiting toxicity, the mechanisms of which remain incompletely elucidated. Within a network…
• Green MW/US route from lignocellulose to FDCA-based thiadiazol scaffolds: DPP-4/COX-1 inhibition and antioxidant evaluation.: The widespread use of lignocellulosic biomass has enabled the rapid conversion of lignocellulosic biomass to 2,5-dicarboxylic acid (FDCA), derived from thiadiazol/cyclamide scaffolds, using a combination of microwave/ultrasonic (MW/US) activation and…
• Green and sustainable nanocatalyzed syntheses of hybrid heterocyclic scaffolds with privileged substructures.: This review article presents recent advances relating to the use of nanostructured catalysts in the construction of drug-like small hybrid molecules with structural diversity and molecular complexity incorporating medicinally privileged heterocyclic…
• Anomalous Effect of Denaturant on Protein Unfolding Dynamics Revealed by Single Molecule Manipulation Experiments.: High temperatures and chemical denaturants in bulk experiments, as well as mechanical forces in single-molecule studies, typically promote protein unfolding. In this study, we report an unexpected decrease in the unfolding rate of cold shock protein (Csp)…

🗓️ Thursday, Mar 05

• Multi-epitope vaccine against nucleoprotein and envelopment polyprotein of Batai orthobunyavirus using molecular docking and molecular dynamics studies.: Batai orthobunyavirus (BATV) is a mosquito-borne orthobunyavirus that affects both humans and animals, and currently no licensed vaccine is available. The aim of this study was to design a multi-epitope vaccine candidate against BATV using a computational…
• Inference-Time Toxicity Mitigation in Protein Language Models: Protein language models (PLMs) are becoming practical tools for de novo protein design, yet their dual-use potential raises safety concerns. We show that domain adaptation to specific taxonomic groups can elicit toxic protein generation, even when toxicity…
• Interpretation of the anti-colitis active ingredients and potential mechanisms of Wumei Wan based on spectrum-effect relationships, network pharmacology, molecular docking and experimental validation.: Wumei Wan (WMW), a renowned classic traditional Chinese medicine formula, is traditionally indicated for regulating cold-heat imbalance, exerting intestinal astringent effects, and arresting diarrhea. Clinically, it is widely employed in the treatment of…
• Aloperine exerts anti-ovarian cancer effects by regulating the tricarboxylic acid cycle and glycolysis: A comprehensive study integrating network pharmacology, molecular docking, metabolomics, and experimental validation.: Aloperine (ALO), an alkaloid derived from Sophora alopecuroides L., demonstrates therapeutic potential against malignant tumors, while the role of ALO and its molecular mechanisms in ovarian cancer remain unclear. This study aims to systematically…
• Integrating ensemble machine-learning and fibril docking to discover potent, novel triazole-naphthalene tau-aggregation inhibitors.: Tau-protein aggregation is a central pathological feature of Alzheimer’s disease, so blocking fibril growth is an attractive therapeutic goal. We curated a high-quality set of 289 literature IC50 measurements for human-tau aggregation and trained a…
• Synergistically Enhanced Peroxidase-like Activity of FeSe2/rGO Nanohybrids: Kinetic, Mechanistic, and Molecular Docking Studies.: FeSe2/rGO nanohybrids were prepared via in situ one-pot synthesis using the hydrothermal method and were assessed for their potential for peroxidase-like activity. Structural and morphological analysis using FE-SEM and TEM confirmed the successful in situ…
• Synthesis, Characterization, In Vitro Anticancer Activity, In Silico ADMET Profiling, and Molecular Docking Studies of Novel 2-Substituted Benzothiazoles: (2-((1S,2S)-2-((E)-substituestyryl)cyclopentyl)benzo[d]thiazoles).: In line with the need for new candidate molecules in cancer treatment, 2-substituted benzothiazole derivatives were synthesized in this study, their antiproliferative activities were evaluated, and their potential was investigated through ADMET, DFT, and…
• Elucidating the Therapeutic Potential of Potentilla nivea L. for Rheumatoid Arthritis Through Network Pharmacology, Molecular Docking, and Experimental Validation.: This study explored the molecular mechanism of Potentilla nivea in treating rheumatoid arthritis (RA) using network pharmacology (NP) and experimental validation. In a collagen-induced arthritis (CIA) rat model, treatment with ethanol extract of P. nivea…

🗓️ Friday, Mar 06

• Functionality-Oriented LLM Merging on the Fisher–Rao Manifold: Weight-space merging aims to combine multiple fine-tuned LLMs into a single model without retraining, yet most existing approaches remain fundamentally parameter-space heuristics. This creates three practical limitations. First, linear averaging, task…
• UPLC-qToF-MS/MS analysis and anti-inflammatory activities of the soft coral Litophyton savignyi supported by bioactive molecular networking, network pharmacology, and molecular docking.: Litophyton savignyi of the Red Sea is one of the underexplored soft corals that is a prolific producer of bioactive metabolites. The anti-inflammatory activity of the hexane fraction of L. savignyi was superior to that of the methanol fraction, as revealed…
• Discovery of compound candidates for the treatment of allergic diseases: integration of DFT analyses, molecular docking, molecular dynamics simulations, and ADMET profiling.
• Curve-Induced Dynamical Systems on Riemannian Manifolds and Lie Groups: Deploying robots in household environments requires safe, adaptable, and interpretable behaviors that respect the geometric structure of tasks. Often represented on Lie groups and Riemannian manifolds, this includes poses on SE(3) or symmetric positive…
• Design of a Bifunctional pHLIP-RGD Scaffold for Site-Specific [99mTc] Tc Labeling: Radiochemical Evaluation and Proof-of-Concept Tumor Targeting.: To develop a novel molecular scaffold designed for dual targeting via site-specific [99mTc] Tc labeling, we report its radiochemical evaluation and preliminary targeting efficacy in acidic tumor models. The pHLIP-RGD scaffold was synthesized by conjugating…
• Design, synthesis and anticonvulsant evaluation of novel 2,4,5-trichlorobenzenesulfonate-based dihydrothiazoles supported by in vivo and in silico studies.: This study describes the synthesis of a new series of 2,4,5 trichlorobenzenesulfonate structural class dihydrothiazoles and assesses the potential of the compounds as antiepileptic drugs using in vivo methods, network pharmacology, molecular docking, and…
• ORG-317 Repurposing as a Potential Agonist Targeting TMEM236 in Colorectal Cancer Treatment: Insights from Molecular Dynamics Simulation, Principal Component Analysis, and Free Energy Landscape Study.: Background and objective Colorectal Cancer (CRC) affects the colon and rectum part of the digestive system and is a significant global health concern, with approximately 1.1 million new cases annually. It ranks second in cancer-related deaths. Studies have…
• Integrating network toxicology and molecular dynamics simulations to unveil the pathogenic mechanism of benzyl butyl phthalate in atopic dermatitis.: This research investigates the molecular mechanisms of benzyl butyl phthalate (BBP) in atopic dermatitis (AD) using network toxicology and molecular dynamics simulation. The environmental toxicity of BBP was systematically predicted and assessed using…

🛠️ Tools & Datasets

• 🛠 Tool: Chai-1 - Multi-modal foundation model for molecular structure prediction.
• 🛠 Tool: Boltz-1 - Open-source biomolecular structure prediction model.
• 💾 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: ProteinSolver - Graph-based neural network for protein sequence design.
• 💾 Dataset: PDB-REDO - Optimized protein structure database with refined models.
• 🛠 Tool: RFdiffusion - State-of-the-art generative model for de novo protein design.
• 💾 Dataset: CATH - Hierarchical protein domain classification for structure and function.
• 🛠 Tool: ProteinMPNN - High-speed sequence design optimized for fixed-backbone folding.
• 💾 Dataset: SCOPe - Curated structural classification of proteins for fold analysis.
• 🛠 Tool: OpenFold - Fast, trainable, and open implementation of AlphaFold2.
• 💾 Dataset: Pfam - Protein families database with curated multiple sequence alignments.

🤖 AI in Research Recap

• India’s AI power is in democratising expertise: Google DeepMind official - Business Standard: India’s AI power is in democratising expertise: Google DeepMind official    Business Standard
• India’s Semicon Mission 2.0: Paving the Way for Deep Tech Startups - Devdiscourse: India’s Semicon Mission 2.0: Paving the Way for Deep Tech Startups    Devdiscourse
• Revolutionizing Science: India’s Role in AI’s Global Impact - Devdiscourse: Revolutionizing Science: India’s Role in AI’s Global Impact    Devdiscourse
• Eli Lilly’s CEO finds AI is ‘not particularly good’ at biology or chemistry problems - Fortune: Eli Lilly’s CEO finds AI is ‘not particularly good’ at biology or chemistry problems    Fortune
• India can democratise expertise with AI power: Google DeepMind sr exec - BizzBuzz: India can democratise expertise with AI power: Google DeepMind sr exec    BizzBuzz
• Nanoparticle and AI-driven vaccines target broad protection against emerging threats - Devdiscourse: Nanoparticle and AI-driven vaccines target broad protection against emerging threats    Devdiscourse
• Congressman Cohen Announces $573,500 NIH Outstanding Investigator Award Grant to St. Jude - Congressman Steve Cohen (.gov): Congressman Cohen Announces $573,500 NIH Outstanding Investigator Award Grant to St. Jude    Congressman Steve Cohen (.gov)
• Deutsche Forschungsgemeinschaft Funds Equipment Centre - Mirage News: Deutsche Forschungsgemeinschaft Funds Equipment Centre    Mirage News
• Bridging structure and function: artificial intelligence-based modelling of kidney proteins - Nature: Bridging structure and function: artificial intelligence-based modelling of kidney proteins    Nature
• Technology-enabled insights into SLC transporters in MAFLD: redefining the multi-hit pathogenesis and therapeutic landscape - Nature: Technology-enabled insights into SLC transporters in MAFLD: redefining the multi-hit pathogenesis and therapeutic landscape    Nature
• Forget consumer apps: Biology is AI’s true frontier: Ella - BusinessLine: Forget consumer apps: Biology is AI’s true frontier: Ella    BusinessLine
• At the 10th anniversary of the AlphaGo match, Lee Se-dol (UNIST’s special professor) nailed, “The co.. - 매일경제: At the 10th anniversary of the AlphaGo match, Lee Se-dol (UNIST’s special professor) nailed, “The co..    매일경제
• Go master Lee Sedol calls AI ‘god-like,’ while scientists see role-reshaping - 동아사이언스: Go master Lee Sedol calls AI ‘god-like,’ while scientists see role-reshaping    동아사이언스

🏢 Industry & Real-World Applications

• Behind Generate’s ‘feverish’ race to raise $400M IPO while window remains open - Fierce Biotech: Behind Generate’s ‘feverish’ race to raise $400M IPO while window remains open    Fierce Biotech
• IPO Tracker 2026: Generate Clocks Largest IPO Since 2024 With $400M Raise - BioSpace: IPO Tracker 2026: Generate Clocks Largest IPO Since 2024 With $400M Raise    BioSpace
• Strengthening IPO Readiness for a Biotech Company - FTI Consulting: Strengthening IPO Readiness for a Biotech Company    FTI Consulting
• Generate caps a strong month for biotech IPOs with $400M offering - BioPharma Dive: Generate caps a strong month for biotech IPOs with $400M offering    BioPharma Dive
• DRUGS AND BIOLOGICS—D. Haw.: Preliminary injunction denied in AstraZeneca challenge to Hawai’i statute addressing 340B discounted drug delivery - VitalLaw.com: DRUGS AND BIOLOGICS—D. Haw.: Preliminary injunction denied in AstraZeneca challenge to Hawai’i statute addressing 340B discounted drug delivery    VitalLaw.com
• City Therapeutics Pursues ‘Next Generation of RNAi’ - GEN - Genetic Engineering and Biotechnology News: City Therapeutics Pursues ‘Next Generation of RNAi’    GEN - Genetic Engineering and Biotechnology News
• Layoff Tracker: Viatris Will Cut up to 10% of Global Workforce Over 3 Years - BioSpace: Layoff Tracker: Viatris Will Cut up to 10% of Global Workforce Over 3 Years    BioSpace
• Asthma Biologics Not Tied to Increased Respiratory Infections - respiratory-therapy.com: Asthma Biologics Not Tied to Increased Respiratory Infections    respiratory-therapy.com
• StockWatch: AI Drug Developer Generates $400M IPO - GEN - Genetic Engineering and Biotechnology News: StockWatch: AI Drug Developer Generates $400M IPO    GEN - Genetic Engineering and Biotechnology News
• TS PGECET Exam 2026: Registration (Started), Date, Syllabus, Pattern, Preparation Tips, Cutoff - Careers360: TS PGECET Exam 2026: Registration (Started), Date, Syllabus, Pattern, Preparation Tips, Cutoff    Careers360
• 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.
• Press Release Service: The Progeria Research Foundation and Forge Biologics Announce Manufacturing Partnership to Advance Gene Therapy for Children with Progeria - CRISPR Medicine: Press Release Service: The Progeria Research Foundation and Forge Biologics Announce Manufacturing Partnership to Advance Gene Therapy for Children with Progeria    CRISPR Medicine
• The 2026 Biologics Wave: Which Innovations Will Break Through? - Contract Pharma: The 2026 Biologics Wave: Which Innovations Will Break Through?    Contract Pharma
• StockWatch: AI Drug Developer Generates $400M IPO - Genetic Engineering and Biotechnology News: StockWatch: AI Drug Developer Generates $400M IPO    Genetic Engineering and Biotechnology News
• Biotech partnership narrows project list - Post Bulletin: Biotech partnership narrows project list    Post Bulletin
• 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
• Alltrna undergoes third layoff round before entering clinic, cutting 35% of jobs - Fierce Biotech: Alltrna undergoes third layoff round before entering clinic, cutting 35% of jobs    Fierce Biotech
• Fibroblast therapy moves toward Phase 1/2 trial for diabetic foot ulcers - Stock Titan: Fibroblast therapy moves toward Phase 1/2 trial for diabetic foot ulcers    Stock Titan
• A large-scale database for clinical trial outcomes and features - Nature: A large-scale database for clinical trial outcomes and features    Nature
• The Progeria Research Foundation and Forge Biologics Announce Manufacturing Partnership to Advance Gene Therapy for Children with Progeria - Business Wire: The Progeria Research Foundation and Forge Biologics Announce Manufacturing Partnership to Advance Gene Therapy for Children with Progeria    Business Wire
• Asthma Biologics Not Tied to Increased Respiratory Infections | RT - respiratory-therapy.com: Asthma Biologics Not Tied to Increased Respiratory Infections | RT    respiratory-therapy.com

💼 Jobs & Opportunities

• Bioinformatics Scientist - Academic Positions (Academic Positions)
• Computational Biology jobs at International Baccalaureate® (IB) - Academic Positions (Academic Positions)
• 85 Genetik jobb - Academic Positions (Academic Positions)
• 2-year Postdoctoral position in “single cell proteomics applied to breast cancer resistance”, Cancer Research Center of Marseille, France (funded by Amidex) - Academic Positions (Academic Positions)
• BenchSci - Senior Machine Learning Engineer - (Omics and Graph Intelligence) - Lever (Lever)
• Janux Therapeutics - Executive Director, Head of Bioinformatics - Lever (Lever)
• Scholar Rock - Director, Upstream MSAT & Process Development - Lever (Lever)
• Middle Author Bioinformatics hiring Bioinformatician in Arizona, United States - LinkedIn (Bioinformatics Careers)
• vueverse. hiring Bioinformatics Software Engineer (Python) – Remote in India - LinkedIn India (Bioinformatics Careers)

📅 Events

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

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