🧬 Weekly Recap

Feb 02 - Feb 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, Feb 02

Evaluating zero-shot prediction of monomeric protein design success by AlphaFold, ESMFold, and ProteinMPNN.

🧬 Abstract

De novo protein design has enabled the creation of proteins with diverse functionalities that are not found in nature. Despite recent advances, experimental success rates remain inconsistent and context-dependent, posing a bottleneck for broader applications of de novo design. To overcome this, structure and sequence prediction models have been applied to assess design quality prior to experimental testing to save time and resources. In this study, we examined the extent to which AlphaFold, Protein MPNN, and ESMFold can discriminate between experimentally successful and unsuccessful designs. We first curated a benchmark dataset of 614 experimentally characterized de novo designed monomers from 11 different design studies between 2012 and 2021. All predictive models demonstrated moderate ability to discriminate experimental successes (expressed, soluble, monomeric, and fold with the correct secondary structure) from failures. Still, many failed designs have better confidence metrics than successful designs, and confidence metrics were topology-dependent. Among all computational models evaluated, ESMFold average predicted local-distance difference test (pLDDT) yielded the best individual performance at distinguishing between successful and unsuccessful designs. A logistic regression model combining all confidence metrics provided only modest improvement over ESMFold pLDDT alone. Overall, these results show that these models can serve as an initial filtering strategy prior to experimental validation; however, their utility at accurately predicting experimentally successful designs remains limited without task-specific training.

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

🗓️ Tuesday, Feb 03

Comparison of In Vitro Multiple Physiological Activities of Cys-Tyr-Gly-Ser-Arg (CYGSR) Linear and Cyclic Peptides and Analysis Based on Molecular Docking.

🧬 Abstract

Peptide cyclization is a strategy to improve biological stability and functional activity, but direct comparison between linear and cyclic peptides with the same sequence is still limited. In this study, linear (L-CR5) and cyclic (C-CR5) forms were synthesized, and biological functions such as antioxidant, whitening, and anti-wrinkle activity were compared and evaluated. C-CR5 showed about 22.3 times of DPPH radical scavenging activity, which was significantly stronger than L-CR5, and tyrosinase inhibition increased rapidly in C-CR5 to reach inhibition of 95% or more, whereas L-CR5 showed only moderate activity in the same range (about 6.5 times). MMP-1 expression in the evaluation of anti-wrinkle activity did not show a decreasing trend in L-CR5 at all, while C-CR5 showed an anti-wrinkle effect, which was reduced by about 92.8% at 400 μg/mL. As a result of molecular docking analysis, C-CR5 exhibited lower MolDock scores than L-CR5 toward both tyrosinase and MMP-1, indicating a potentially higher binding affinity and improved binding stability. This is expected to be due to reduced structural flexibility and optimized residue directions (especially Tyr and Arg). These results indicate that peptide cyclization is an example of enhanced functional bioactivity of CYGSR and provides a positive case for the structure-activity relationship.

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

🗓️ Wednesday, Feb 04

Decrypting potential mechanisms linking ochratoxin A to hepatocellular carcinoma: an integrated approach combining toxicology, machine learning, molecular docking, and molecular dynamics simulation.

🧬 Abstract

Background Ochratoxin A (OTA), a common food-borne mycotoxin, is a potential human carcinogen, yet the specific molecular mechanisms linking it to hepatocellular carcinoma (HCC) remain unclear. Methods We integrated network toxicology to predict OTA targets and intersected them with HCC transcriptomic data to identify key candidate genes. Functional enrichment analysis was then conducted. Multiple machine learning algorithms were applied to screen and validate core genes. Furthermore, molecular docking and molecular dynamics (MD) simulations were employed to evaluate the binding stability between OTA and key target proteins. Results A total of 50 key genes were identified as potential targets for potential OTA-associated hepatocarcinogenesis. Enrichment analysis revealed their significant involvement in critical processes such as xenobiotic metabolism and oxidative stress response. Machine learning analysis prioritized eight core genes (AURKA, GABARAPL1, CA2, PARP1, LMNA, SLC27A5, EPHX2, and GSTP1), and a combined diagnostic model demonstrated outstanding performance (AUC = 0.986). Structural analyses via molecular docking and MD simulations confirmed stable binding interactions between OTA and these core targets. Conclusions This integrated computational study identifies a set of candidate genes through which OTA may potentially interact with HCC-associated molecular networks. The robust binding predicted between OTA and the core targets provides a structural basis for these interactions. These findings offer a prioritized list of targets and a theoretical framework for subsequent experimental validation and investigation into OTA’s toxicological role in HCC.

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

🗓️ Thursday, Feb 05

High-accuracy protein complex structure modeling based on sequence-derived structure complementarity.

🧬 Abstract

In living organisms, proteins perform key functions required for life activities by interacting to form complexes. Determining the protein complex structure is crucial for understanding and mastering biological functions. Although AlphaFold2 makes a revolutionary breakthrough in predicting protein monomeric structures, accurately capturing inter-chain interaction signals and modeling the structures of protein complexes remain a formidable challenge. In this work, we report DeepSCFold, a pipeline for improving protein complex structure modeling. DeepSCFold uses sequence-based deep learning models to predict protein-protein structural similarity and interaction probability, providing a foundation for identifying interaction partners and constructing deep paired multiple-sequence alignments (MSAs) for protein complex structure prediction. Benchmark results show that DeepSCFold significantly increases the accuracy of protein complex structure prediction compared with state-of-the-art methods. For multimer targets from CASP15, DeepSCFold achieves an improvement of 11.6% and 10.3% in TM-score compared to AlphaFold-Multimer and AlphaFold3, respectively. Furthermore, when applied to antibody-antigen complexes from the SAbDab database, DeepSCFold enhances the prediction success rate for antibody-antigen binding interfaces by 24.7% and 12.4% over AlphaFold-Multimer and AlphaFold3, respectively. These results demonstrate that DeepSCFold effectively captures intrinsic and conserved protein-protein interaction patterns through sequence-derived structure-aware information, rather than relying solely on sequence-level co-evolutionary signals.

🗓️ Friday, Feb 06

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

🧬 Abstract

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

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

📚 All Papers & Quick Reads

🗓️ Monday, Feb 02

• Vision-Language Controlled Deep Unfolding for Joint Medical Image Restoration and Segmentation: We propose VL-DUN, a principled framework for joint All-in-One Medical Image Restoration and Segmentation (AiOMIRS) that bridges the gap between low-level signal recovery and high-level semantic understanding. While standard pipelines treat these tasks in…
• Computational Screening, ADME Study, and Evaluation of Benzothiazole Derivatives as Potential Anticancer Agents.: Benzothiazole derivatives have garnered considerable interest in medicinal chemistry due to their diverse biological activities, including anticancer potential. The synthesis of 2-substituted benzothiazoles is traditionally achieved via two main…
• Novel and sustainable microfabricated Cu ion selective sensor doped with ionophore and supported with docking study for determination of vonoprazan fumarate in tablet dosage form.: In the field of drug analysis, there is a growing emphasis on developing techniques that are environmentally friendly, cost-effective, and efficient. To align with the principles of green analytical chemistry and to support the advancement of portable and…
• ME-PFP: An Ensemble Learning Approach Fusing Multi-Source Features for Protein Function Prediction.: Proteins, as essential components of living organisms, play a critical role in both drug discovery and disease mechanism research. Multiple empirical studies have shown that there is a significant correlation between protein function and drug targets with…
• Impact of clove oil on behavioral and biochemical parameters in restrained rats by using docking and experimental approaches.: Background Acute restraint stress activates the (HPA) axis, elevating corticosterone and influencing cognitive function. Clove oil (Syzygium aromaticum), known for its antioxidant and neuroprotective properties, may counteract stress-induced biochemical…
• Enhancing Drug Repurposing with Consensus Docking: Discovery of Novel Discoidin Domain Receptor 1 Inhibitors.: Developing novel drugs is a long and difficult process, particularly in oncology, where high attrition rates make clinical trials costly and time-consuming. In response, drug repurposing emerges as an efficient alternative: existing compounds can be used…
• Regarding “The molecular mechanisms through which psilocybin prevents suicide: evidence from network pharmacology and molecular docking analyses”.
• Enzymatic preparation of epigallocatechin gallate diglucoside and bioactivity assessment.: Epigallocatechin gallate (EGCG), the predominant catechin in green tea, has limited application due to its poor water solubility and instability. To address these issues, this study utilized recombinant sucrose phosphorylase to catalyze the glucosylation…

🗓️ Tuesday, Feb 03

• The Role of the Electronic Structure during Protein Folding through Electron Density-Based Quantum Chemical Descriptors.: One of the major challenges in protein folding is understanding the role that the electronic structure of proteins plays during their folding. We emphasize that the structural and dynamic properties of proteins are extremely important for understanding how…
• In-silico characterization of deleterious non-synonymous SNPs in the human S1PR1 gene reveals structural instability and altered ligand affinity.: S1PR1 is a G protein-coupled receptor that plays a key role in regulating lymphocyte trafficking, immune response, cardiovascular system function, cell proliferation and survival, tumor angiogenesis, and metastasis. It is also recognized as a…
• Discovery of a novel Keap1 inhibitor for neurodegeneration through virtual screening and molecular dynamics simulations.: Oxidative stress is a key feature of Alzheimer’s disease (AD) and other neurodegenerative disorders. The Kelch-like ECH-associated protein 1 (Keap1)-nuclear factor erythroid 2-related factor 2 (Nrf2) pathway controls redox balance, and disrupting the…
• Integrating metabolomics, network pharmacology and molecular dynamics simulations reveals that Xiehuang San targets CLCF1-STAT3 to restore insulin signaling in T2DM.: Xiehuang San (XHS) is a classical Chinese herbal formula with analgesic, anti-inflammatory, gastrointestinal-regulating and hypoglycemic effects, but its specific regulatory mechanisms remain incompletely understood. To evaluate the effects of XHS on T2DM,…
• Mechanistic insights into PCBP1-driven unfolding of selected i-motif DNA at G1/S checkpoint.: I-motifs are non-canonical, four-stranded DNA structures in cytosine-rich genomic regions, yet their protein-mediated regulation remains underexplored. Here, we identify PCBP1 (Poly(rC)-binding protein 1) as a selective i-motif-binding protein that unfolds…
• From Hit to Lead: Discovery of Novel Selective RIPK1 Inhibitor with Pyridoimidazole Scaffold for the Treatment of Autoimmune Diseases through Phenotypic Screening and Structural Optimization.: Autoimmune diseases remain challenging to treat due to the limitations of TNFα-targeted biologics and the inefficacy of small molecules directly targeting TNFα. RIPK1, a central mediator of TNFα-driven inflammation and necroptosis, offers a promising…
• Glycine at Position 93 in SOD1: Mutation-Sensitivity Landscape and Context-Dependent Folding Requirements.: Glycine, the simplest amino acid with a single hydrogen atom as its side chain, plays a crucial role in protein folding and structural flexibility. In this study, we used copper/zinc superoxide dismutase (SOD1) as a model system to investigate how the…
• Molecular Dynamics and Experimental Validation of Natural Products from Chuanxiong Rhizoma as VEGFR2 Inhibitors for nAMD Therapy.: Age-related macular degeneration (AMD) is a leading cause of blindness among the elderly worldwide. Neovascular AMD (nAMD) is a significant subtype of AMD, responsible for the blindness of over 90% of patients with AMD. The hallmark of nAMD is choroidal…

🗓️ Wednesday, Feb 04

• Spectroscopic, Quantum Chemical, Docking, and Simulation Studies of a Benzothiazole-Based Derivative With Anti-Breast Cancer Potential.: This work presents an integrated spectroscopic and theoretical investigation of 2-(benzothiazolylthio)acetic acid (BTA). Experimental characterization was performed using FT-IR, FT-Raman, XRD, and UV-Vis techniques, while quantum chemical studies were…
• Phenolic Profiling of Laurus nobilis by LC-ESI-MS/MS: In Vitro Bioactivities and In Silico Enzyme Docking.: This study evaluated the branch, leaf, and fruit extracts of Laurus nobilis collected from Artvin in terms of phenolic composition, antioxidant, antimicrobial, and antidiabetic activities and additionally investigated the binding of selected phenolics to…
• Benzo[f]chromene Derivatives as Cytotoxic Agents: Design, Synthesis, Molecular Docking, and ADMET
• Polyethylene Terephthalate Microplastics Exposure Enhances the Risk of Ulcerative Colitis: Insights From Multi-Omics Integration, Machine Learning, and Molecular Docking Reveal Intestinal Toxicity Mechanisms: A Commentary.
• Synthesis, Biological Evaluation, and Molecular Docking of Benzimidazole-hydrazone Derivatives as Potential Anticancer Agents Targeting Tyrosine Kinases: Induces G0-G1 Phase Arrest in HepG2 Cells.: Cancer continues to be a leading cause of morbidity and mortality worldwide, with significant variability in incidence and treatment outcomes. This study investigates novel benzimidazole-hydrazone derivatives aimed at inhibiting receptor tyrosine kinases…
• Dynamic Binder Exchange Improves Protein Labeling Efficiency in DNA-PAINT up to 15-Fold.: Dynamic Binder Exchange (DyBE) enhances DNA-PAINT (Point Accumulation for Imaging in Nanoscale Topography) super-resolution microscopy by exploiting transient, reversible binder-target interactions. DyBE uses DNA-conjugated binders such as nanobodies as…
• Computational analysis of CCN1 as a druggable target predicts interactions with bioactive compounds.: In silico druggability assessment helps shorten early drug discovery by identifying small molecules worth experimental testing as potential protein modulators. CCN1 is a multifunctional protein involved in various physiological processes and its…
• Exploring natural products as Bcl-2 inhibitors for acute myeloid leukemia therapy using In vitro, STD-NMR spectroscopy, and In silico approaches.: Acute myeloid leukemia (AML) is the predominant form of acute leukemia, affecting elderly individuals, typically diagnosed at an average age of 68 years. AML cells rely on the Bcl-2 protein for their survival. Overexpression of Bcl-2 protein in various…

🗓️ Thursday, Feb 05

• Study on the Mechanism of Ku Diding in the Treatment of Diabetes based on Network Pharmacology, Molecular Docking Technology, and Molecular Dynamics.: Introduction To explore how Ku Diding (KDD) works in managing Diabetes Mellitus (DM), researchers utilized network pharmacology, molecular docking, and molecular dynamics methodologies. Methods Key active components of KDD were identified using the…
• High-accuracy protein complex structure modeling based on sequence-derived structure complementarity.: In living organisms, proteins perform key functions required for life activities by interacting to form complexes. Determining the protein complex structure is crucial for understanding and mastering biological functions. Although AlphaFold2 makes a…
• Exploring toxicity and mechanisms of DDTs in Alzheimer’s disease through network toxicology and molecular docking insights.: BackgroundDichlorodiphenyltrichloroethane (DDT) and its metabolites (DDTs), such as dichlorodiphenyldichloroethylene (DDE) and dichlorodiphenyldichloroethane (DDD), are synthetic organochlorine pesticides with long environmental persistence. Although DDT…
• Molecular docking and dynamics in protein serine/threonine kinase drug discovery: advances, challenges, and future perspectives.: Protein serine/threonine kinases (STKs) regulate critical signaling pathways involved in cell growth, proliferation, metabolism, and apoptosis. Aberrant kinase activity is implicated in diverse human diseases, including cancer, neurodegeneration, and…
• High-resolution protein modeling through Cryo-EM and AI: current trends and future perspectives - a review.: The structural elucidation of proteins is fundamental to understanding their biological functions and advancing drug discovery. Recent breakthroughs in cryo-electron microscopy (cryo-EM) and artificial intelligence (AI)-based structure prediction have…
• The promise of AlphaFold for gene structure annotation: Background As sequencing technology improves, more genomes become available. Most lack annotation, automated methods are error prone, and few genomes are ever manually curated due to time and cost. Protein structure prediction software may provide new…
• Assessing the Neurotoxicity of Bisphenol A Using Network Toxicology, Molecular Docking, and Molecular Dynamics Simulation.: Bisphenol A (BPA) is a prevalent environmental endocrine disruptor with potential impacts to the neurological system in humans. This study used an integrated method combining network toxicology, molecular docking, and molecular dynamics simulations to…
• Network pharmacology, molecular docking, and molecular dynamics simulations to explore the effects of sinomenine on thyroid dysfunction.: Thyroid dysfunction is a disease closely associated with autoinflammatory responses and immune imbalances. Derived from the traditional Chinese medicine Sinomenium acutum, sinomenine is an alkaloid that possesses immunomodulatory and anti-inflammatory…

🗓️ Friday, Feb 06

• Exploring the Antidepressant Mechanism of Codonopsis pilosula through Network Pharmacology and Molecular Docking Analysis.: To investigate the antidepressant properties and underlying mechanisms of Codonopsis pilosula using network pharmacology and molecular docking analysis. The principal constituents of Codonopsis pilosula were identified from the Traditional Chinese Medicine…
• Atomic resolution ensembles of intrinsically disordered proteins with Alphafold.: Intrinsically disordered proteins are ubiquitous in biological systems and play essential roles in a wide range of biological processes and diseases. Despite recent advances in high-resolution structural biology techniques and breakthroughs in deep…
• Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model.: Understanding the relationship between protein sequence and function remains a longstanding challenge in bioinformatics, and to date the lion’s share of related tools parse proteins at the domain or motif levels. Here, we define “protein words” as an…
• Pro4S: prediction of protein solubility by fusing sequence, structure, and surface: Protein solubility is a critical physicochemical property influencing protein stability, therapeutic efficacy, and overall developability in drug discovery. However, traditional experimental methods for assessing solubility are often resource-intensive and…
• Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation of Mucuna pruriens for Parkinson’s Disease Treatment.: Introduction: Parkinson’s Disease (PD) is a common neurodegenerative disorder with limited treatment options. Thus, there’s a need for new therapies. Mucuna pruriens (MP) seeds are used in traditional treatments for PD, but their mechanisms are not well…
• Accelerating drug discovery for Disease X <i>via</i> an AlphaFold2 driven drug repositioning strategy.: With global concerns about possible outbreaks of Disease X similar to COVID-19 in the future, it is crucial to develop and refine effective drug discovery strategies. Here, we reported a drug discovery strategy for Disease X combined with the FDA-approved…
• De novo protein design enables targeting of intractable oncogenic interfaces: ABSTRACT Protein-protein interactions (PPIs) involving oncogenic drivers remain among the most intractable targets in cancer biology due to their dynamic conformations and limited accessibility to conventional small molecules. Although antibodies and…
• Curcumin attenuates LPS-induced inflammation in RAW 264.7 cells: A multifaceted study integrating network pharmacology, molecular docking, molecular dynamics simulation, and experimental validation.: Background Inflammation is a critical immune response that protects the body from infections and injuries. However, chronic inflammation can lead to diseases such as cancer. Curcumin, a bioactive compound extracted from Curcuma longa, has been widely…

🛠️ Tools & Datasets

• 🛠 Tool: MultiFOLD/IntFOLD - High-performance protein structure prediction and quality assessment server.
• 🛠 Tool: PyMOL - Gold standard for molecular visualization and publication-quality imaging.
• 💾 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: Chai-1 - Multi-modal foundation model for molecular structure prediction.
• 💾 Dataset: PDB-REDO - Optimized protein structure database with refined models.
• 🛠 Tool: Boltz-1 - Open-source biomolecular structure prediction model.
• 💾 Dataset: CATH - Hierarchical protein domain classification for structure and function.
• 🛠 Tool: ProteinSolver - Graph-based neural network for protein sequence design.
• 💾 Dataset: SCOPe - Curated structural classification of proteins for fold analysis.
• 🛠 Tool: RFdiffusion - State-of-the-art generative model for de novo protein design.
• 💾 Dataset: Pfam - Protein families database with curated multiple sequence alignments.

🤖 AI in Research Recap

• $2M Grant Backs AI Initiative to Protect Crops from Disease - Seed World: $2M Grant Backs AI Initiative to Protect Crops from Disease    Seed World
• AI Tools Are Finally Decoding Proteins That Defied Scientists for Decades - BioTecNika: AI Tools Are Finally Decoding Proteins That Defied Scientists for Decades    BioTecNika
• Nobel laureates in Dubai: AI can speed up science, but can’t replace human discovery - Gulf News: Nobel laureates in Dubai: AI can speed up science, but can’t replace human discovery    Gulf News
• The Biological Singularity: How AlphaFold 3 Is Rewriting the Blueprint of Drug Discovery - FinancialContent: The Biological Singularity: How AlphaFold 3 Is Rewriting the Blueprint of Drug Discovery    FinancialContent
• IDEAYA Biosciences to Participate in Upcoming February 2026 Investor Relations Events - The Malaysian Reserve: IDEAYA Biosciences to Participate in Upcoming February 2026 Investor Relations Events    The Malaysian Reserve
• Exclusive: Anthropic partners with Allen Institute and Howard Hughes Medical Institute - Fortune: Exclusive: Anthropic partners with Allen Institute and Howard Hughes Medical Institute    Fortune
• Bioxytran and University of Minnesota Launch Sponsored Research Collaboration to Advance Novel Carbohydrate-Based Therapeutics - TradingView: Bioxytran and University of Minnesota Launch Sponsored Research Collaboration to Advance Novel Carbohydrate-Based Therapeutics    TradingView
• Event guide: 5th GPCRs-Targeted Drug Discovery Summit - News-Medical: Event guide: 5th GPCRs-Targeted Drug Discovery Summit    News-Medical
• February is Heart Month: What does new data mean for you, your health - Newport Daily News: February is Heart Month: What does new data mean for you, your health    Newport Daily News
• HepS protein in Salmonella - dr Grzegorz Grabe published in ‘Nature’ - | Uniwersytet Gdański: HepS protein in Salmonella - dr Grzegorz Grabe published in ‘Nature’    | Uniwersytet Gdański
• AlphaGenome Decodes 98% Genome for Disease Insights - 조선일보: AlphaGenome Decodes 98% Genome for Disease Insights    조선일보
• Mental knots—studies offer insights into a protein’s role in schizophrenia - MSN: Mental knots—studies offer insights into a protein’s role in schizophrenia    MSN
• AlphaGenome Deciphers Non-Coding DNA for Gene Regulation - IEEE Spectrum: AlphaGenome Deciphers Non-Coding DNA for Gene Regulation    IEEE Spectrum
• ConvGeM-Next: A deep learning framework for plant disease detection - Frontiers: ConvGeM-Next: A deep learning framework for plant disease detection    Frontiers

🏢 Industry & Real-World Applications

• AbCellera Advances ABCL635 Menopause Candidate As Shares Trade Below Targets - simplywall.st: AbCellera Advances ABCL635 Menopause Candidate As Shares Trade Below Targets    simplywall.st
• J&K Ingredients, Pallas Biotech partnership spurs clean-label innovation - Commercial Baking: J&K Ingredients, Pallas Biotech partnership spurs clean-label innovation    Commercial Baking
• Biologics Contract Research Organizations Market Trends Analysis and Forecast Report 2021-2025 & 2025-2033 - GlobeNewswire: Biologics Contract Research Organizations Market Trends Analysis and Forecast Report 2021-2025 & 2025-2033    GlobeNewswire
• Summit Therapeutics Announces U.S. FDA Acceptance of Biologics License Application (BLA) Seeking Approval for Ivonescimab in Combination with Chemotherapy in Treatment of Patients with EGFRm NSCLC Post-TKI Therapy - Business Wire: Summit Therapeutics Announces U.S. FDA Acceptance of Biologics License Application (BLA) Seeking Approval for Ivonescimab in Combination with Chemotherapy in Treatment of Patients with EGFRm NSCLC Post-TKI Therapy    Business Wire
• Repertoire adds Lilly to range of Big Pharma partners in autoimmune deal worth up to $1.9B - Fierce Biotech: Repertoire adds Lilly to range of Big Pharma partners in autoimmune deal worth up to $1.9B    Fierce Biotech
• Layoff Tracker: Gilead Continues California Cuts With 34 Laid Off - BioSpace: Layoff Tracker: Gilead Continues California Cuts With 34 Laid Off    BioSpace
• Fierce Biotech Fundraising Tracker ‘26: Breakthru emerges with $60M; Tenpoint raises $85M - Fierce Biotech: Fierce Biotech Fundraising Tracker ‘26: Breakthru emerges with $60M; Tenpoint raises $85M    Fierce Biotech
• The 4 Biotech Companies on Track to IPO this Week Despite the Government Shutdown - MedCity News: The 4 Biotech Companies on Track to IPO this Week Despite the Government Shutdown    MedCity News
• Global expertise, local hub: how a bioprocessing center is accelerating drug discovery - News-Medical: Global expertise, local hub: how a bioprocessing center is accelerating drug discovery    News-Medical
• Diffuse Bio Announces Push-Button Platform for Ultra-Fast Biologics Discovery at Scale - FinancialContent: Diffuse Bio Announces Push-Button Platform for Ultra-Fast Biologics Discovery at Scale    FinancialContent
• What Does Wall Street Think About AbCellera Biologics Inc. (ABCL)? - Finviz: What Does Wall Street Think About AbCellera Biologics Inc. (ABCL)?    Finviz
• From Biologics to Bio-Machines: Top Takeaways From Maui Derm 2026 - American Journal of Managed Care: From Biologics to Bio-Machines: Top Takeaways From Maui Derm 2026    American Journal of Managed Care
• Trial tests VCN-01 before eye removal in hard-to-treat retinoblastoma - Stock Titan: Trial tests VCN-01 before eye removal in hard-to-treat retinoblastoma    Stock Titan
• Zonsen PepLib Biotech Enters Global R&D Collaboration and License Agreement with Lilly - Yahoo Finance: Zonsen PepLib Biotech Enters Global R&D Collaboration and License Agreement with Lilly    Yahoo Finance
• Investors crave safer, market-ready biotech bets, widening the early-stage funding gap - Pharma Voice: Investors crave safer, market-ready biotech bets, widening the early-stage funding gap    Pharma Voice
• Anthropic partners with Allen Institute and Howard Hughes Medical Institute to accelerate scientific discovery - Anthropic: Anthropic partners with Allen Institute and Howard Hughes Medical Institute to accelerate scientific discovery    Anthropic
• From Biologics to Bio-Machines: Top Takeaways From Maui Derm 2026 - The American Journal of Managed Care: From Biologics to Bio-Machines: Top Takeaways From Maui Derm 2026    The American Journal of Managed Care
• Investors crave safer, market-ready biotech bets, widening the early-stage funding gap - PharmaVoice: Investors crave safer, market-ready biotech bets, widening the early-stage funding gap    PharmaVoice
• Eisai strikes Japan licensing deal with Shanghai Henlius Biotech - whbl.com: Eisai strikes Japan licensing deal with Shanghai Henlius Biotech    whbl.com
• Indian Gov’t To Invest $1.1 Bn To Support Biologics & Biosimilars Hub - DCAT Value Chain Insights: Indian Gov’t To Invest $1.1 Bn To Support Biologics & Biosimilars Hub    DCAT Value Chain Insights
• A cut above: Veradermics locks in $256M IPO and shares spike - Fierce Pharma: A cut above: Veradermics locks in $256M IPO and shares spike    Fierce Pharma
• Eisai strikes Japan licensing deal with Shanghai Henlius Biotech - Reuters: Eisai strikes Japan licensing deal with Shanghai Henlius Biotech    Reuters
• Eikon Therapeutics nets a $381M IPO amid burst of biotech offerings - BioPharma Dive: Eikon Therapeutics nets a $381M IPO amid burst of biotech offerings    BioPharma Dive
• J&K Ingredients, biotechnology company partner on freshness - Food Business News: J&K Ingredients, biotechnology company partner on freshness    Food Business News
• India will invest $1.1B to boost development of biologics, biosimilars - Fierce Pharma: India will invest $1.1B to boost development of biologics, biosimilars    Fierce Pharma

💼 Jobs & Opportunities

• Art Director - Workable (Workable)
• Scientist - Omics Sampling & Perturbation - Workable (Workable)
• Share Advert | Research Assistant or Postdoctoral Research Associate in Bioinformatics and Machine Learning - Jobs.ac.uk (Jobs.ac.uk)
• Research Associate in Cancer Bioinformatics at Imperial College London - Jobs.ac.uk (Jobs.ac.uk)
• Eurofins Protein Characterization Scientist - SmartRecruiters (SmartRecruiters)
• Eurofins Bioanalytical Protein Scientist - SmartRecruiters (SmartRecruiters)
• Dynamic biomarkers in hormone receptor-positive/HER2-negative breast cancer trials: a new hope for precision oncology - Nature (Nature Careers)
• Jobs and opportunities - Euraxess (Euraxess)
• Share Advert | Computational Biology Data Analyst - (Grade 6) - Jobs.ac.uk (Jobs.ac.uk)
• Research Fellow - Bioinformatics – Scientist at UCL - Jobs.ac.uk (Jobs.ac.uk)

📅 Events

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

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