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#machine learning — Tuesday, September 01, 2026 (43 items)

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0 ℹ Leveraging latent space models for enzyme discovery and sampling. (pnas.org) robot Chiang CH … Brooks CL 3rd PNAS 2026-09-01 #enzyme #protein #machine learning #sequence
0 ℹ Multiobjective learning and design of bacteriophage specificity. (linkinghub.elsevier.com) robot Novy N … Raman S Cell Systems 2026-09-01 #machine learning #phage #protein design #specificity #host-targeting
0 ℹ AI-enhanced adaptive virtual screening of large libraries for ligand discovery. (nature.com) robot Cecchini D … Gorgulla C Nature Biotechnology 2026-09-01 #screening #drug discovery #machine learning #docking #ligand
0 ℹ Designing physics experiments with artificial intelligence. (nature.com) robot Klimesch J … Krenn M Nature 2026-09-01 #machine learning #optimization #simulation #experimental design
0 ℹ Contrastive learning of adverse events to provide effective and interpretable vector representations for machine-assisted pharmacovigilance. (academic.oup.com) robot Balogh OM … Agg B Briefings in Bioinformatics 2026-09-01 #pharmacovigilance #machine learning #adverse events #adverse drug reaction #signal detection
0 ℹ Decoupling topological and molecular features for interpretable biomolecular interaction prediction. (academic.oup.com) robot Wu Q … Liu J Briefings in Bioinformatics 2026-09-01 #prediction #interactions #machine learning #computational #drug discovery
0 ℹ Benchmarking biomedical foundation models. (nature.com) robot Saez-Rodriguez J … Stolovitzky G Nature Methods 2026-09-01 #benchmarking #foundation-models #reproducibility #computational biology #machine learning
0 ℹ Machine learning approaches for cancer prognosis and diagnosis via non-coding RNA: a comprehensive review. (academic.oup.com) robot Hossain MS … Chen YP Briefings in Bioinformatics 2026-09-01 #cancer #machine learning #ncrna #biomarker #prognosis
0 ℹ GiGCN: a network-based framework for uncovering synthetic lethal and viable genetic interactions. (academic.oup.com) robot Wang Q … Wang J Briefings in Bioinformatics 2026-09-01 #synthetic lethality #genetic interactions #network analysis #computational biology #machine learning
0 ℹ Shared pathogenic genes and therapeutic targets in periodontitis and systemic juvenile idiopathic arthritis: An integrative bioinformatics and machine learning study. (journals.plos.org) robot Deng Q … Qi L PLOS Computational Biology 2026-09-01 #bioinformatics #inflammation #machine learning #arthritis #periodontitis
0 ℹ engGNN: a dual-graph neural network for omics-based disease classification and feature selection. (academic.oup.com) robot Yang T … Liu CT Briefings in Bioinformatics 2026-09-01 #transcriptomics #feature selection #machine learning #classification #metabolomics
0 ℹ circMAC: microRNA-conditioned binding-site localization on circular RNA isoforms. (academic.oup.com) robot Kim J … Song G Briefings in Bioinformatics 2026-09-01 #microrna #ncrna #machine learning #binding-site #prediction
0 ℹ Machine learning-based prediction of cross-immunity. (academic.oup.com) robot Resch VE … Paragi G Briefings in Bioinformatics 2026-09-01 #machine learning #immunology #prediction #epitope #t cell
0 ℹ DFRL-Mol: a dual-stage framework of reinforcement learning for multi-scenario molecule optimization. (academic.oup.com) robot Wu Z … Shi JY Briefings in Bioinformatics 2026-09-01 #reinforcement learning #drug discovery #molecular-optimization #machine learning
0 ℹ AET5: A transcriptome-guided molecular generation framework with contrastive self-supervised learning. (journals.plos.org) robot Yuan Z … Guo X PLOS Computational Biology 2026-09-01 #transcriptomics #molecular_generation #machine learning #drug discovery
0 ℹ MSF-HierGNN: a multi-source substructure-fusion hierarchical GNN method and web server to predict molecular property for drug design. (academic.oup.com) robot Xiao M … Zhang L Briefings in Bioinformatics 2026-09-01 #drug design #molecular-property-prediction #chemoinformatics #graph neural network #machine learning
0 ℹ ELISA (Embedding-Linked Interactive Single-cell Agent): an interpretable hybrid generative Artificial Intelligence agent for expression-grounded discovery in single-cell genomics. (academic.oup.com) robot Coser O Briefings in Bioinformatics 2026-09-01 #transcriptomics #single-cell #gene expression #machine learning #pathway analysis
0 ℹ DLRNA-BERTa: a transformer approach for predicting molecule-RNA binding affinities. (academic.oup.com) robot Lobascio P … Tanoli Z Briefings in Bioinformatics 2026-09-01 #rna #drug discovery #machine learning #binding affinity #therapeutics
0 ℹ Structure-based virulence factor classification using a dual-driven graph transformer with a pretrained language model. (academic.oup.com) robot Bai P … Ding Y Briefings in Bioinformatics 2026-09-01 #virulence #pathogenesis #machine learning #classification #proteomics
0 ℹ Phage bioinformatics tools: a review of computational approaches for bacteriophage research. (academic.oup.com) robot Pang SJL … Yap EPH Briefings in Bioinformatics 2026-09-01 #bioinformatics #phage #metagenomics #annotation #machine learning
0 ℹ OmniExtract: an automatic data extraction tool based on large language model and prompt engineering. (academic.oup.com) robot Wang Y … Zhao W Briefings in Bioinformatics 2026-09-01 #information extraction #natural language processing #machine learning
0 ℹ PhoSARte: identification of SARS-CoV-2 phosphorylation sites using contrastive learning and protein language models. (academic.oup.com) robot Pham NT … Manavalan B Briefings in Bioinformatics 2026-09-01 #covid-19 #phosphoproteomics #machine learning #ptm #host-pathogen
0 ℹ ContiTE: continuous manifold MoE for few-shot cross-tissue mRNA translation efficiency prediction. (academic.oup.com) robot Wei Y … Zhou X Briefings in Bioinformatics 2026-09-01 #translation #transcriptomics #machine learning #gene expression #tissue-specific
0 ℹ AlloPool is a deep learning framework that infers protein allostery from molecular dynamics simulations. (journals.plos.org) robot Marfoglia M … Barth P PLOS Biology 2026-09-01 #dynamics #allostery #proteins #machine learning #simulation
0 ℹ Response to "Caution: Fundamental data quality issues underlying intelligent prediction of enzyme optimal pH". (academic.oup.com) robot Qiu S … Yang A Briefings in Bioinformatics 2026-09-01 #curation #data quality #machine learning #enzyme
0 ℹ DDTRN: predicting bacterial transcriptional regulatory networks based on gene sequences using dual descriptor. (academic.oup.com) robot Nie P … Ma BG Briefings in Bioinformatics 2026-09-01 #transcriptomics #gene regulation #machine learning #sequence analysis
0 ℹ Hydrogen-helium immiscibility boundary in gas-giant planetary interiors from machine-learning molecular dynamics. (nature.com) robot Wang X … Cheng B Nature Communications 2026-09-01 #machine learning #simulation #thermodynamics #planetary-science
0 ℹ A high-dimensional benchmark of objective functions and biological resolutions for personalized metabolic phenotyping. (academic.oup.com) robot Erdogan MA … Cakmak A Briefings in Bioinformatics 2026-09-01 #metabolomics #machine learning #biomarker #diagnosis #personalized medicine
0 ℹ Machine learning methodology using a masked neural network for robust genetic risk score calculation from noisy and missing data. (academic.oup.com) robot Squires S … Oram RA Briefings in Bioinformatics 2026-09-01 #machine learning #genetic #risk prediction #diabetes
0 ℹ A machine learning method for calculating highly localized protein stabilities. (nature.com) robot Lu C … Glasgow A Nature Communications 2026-09-01 #proteomics #protein stability #machine learning #thermodynamics
0 ℹ ToxMamba: a novel method for toxic peptide prediction based on the fusion of pretrained embeddings and multi-scale state space models. (academic.oup.com) robot Fang J … Li Z Briefings in Bioinformatics 2026-09-01 #toxicity #peptide #prediction #machine learning #therapeutics
0 ℹ PEARL: novel protein targets recommendation model via heterogeneous graph representation learning. (academic.oup.com) robot Liu Z … Liao J Briefings in Bioinformatics 2026-09-01 #peptide #protein-interactions #machine learning #graph learning #drug discovery
0 ℹ Integrative machine learning approaches for enzyme kinetic parameter prediction. (academic.oup.com) robot Zhou R … Wei Y Briefings in Bioinformatics 2026-09-01 #machine learning #enzyme #kinetics #prediction #protein
0 ℹ Deconformer: efficient cell-type composition profiling of cfRNA across diverse cell types. (academic.oup.com) robot Wang C … Wang WJ Briefings in Bioinformatics 2026-09-01 #transcriptomics #deconvolution #machine learning #liquid biopsy #biomarker
0 ℹ From conservation scores to language models: a feature engineering perspective on machine learning for genetic variant interpretation. (academic.oup.com) robot Bulloni M … Pattini L Briefings in Bioinformatics 2026-09-01 #machine learning #variant interpretation #deep learning #precision medicine #feature-engineering
0 ℹ Explainable/interpretable artificial intelligence and knowledge graph neural network for synthetic lethality prediction: overview, challenges, and future directions. (academic.oup.com) robot Felloussi S … Aherrahrou N Briefings in Bioinformatics 2026-09-01 #synthetic lethality #cancer #machine learning #multi-omics #drug discovery
0 ℹ Decoding cellular vulnerabilities for interpretable drug response prediction. (academic.oup.com) robot Chen C … He M Briefings in Bioinformatics 2026-09-01 #cancer #drug response #transcriptomics #machine learning #crispr
0 ℹ Artificial intelligence in spatial transcriptomics: a review of methods, datasets, and directions. (academic.oup.com) robot Sharma N … Erdem C Briefings in Bioinformatics 2026-09-01 #transcriptomics #machine learning #image segmentation #tissue
0 ℹ UcTCRp: a TCRbeta-based framework for identifying and profiling MAIT- and iNKT-associated repertoire signals. (academic.oup.com) robot Chen L … Zhang J Briefings in Bioinformatics 2026-09-01 #tcr #mait #immunology #repertoire #machine learning
0 ℹ Virtual cells: progress and challenges from mechanistic modeling to data-driven integration. (academic.oup.com) robot Ma N … Chu Y Briefings in Bioinformatics 2026-09-01 #computational modeling #transcriptomics #systems biology #machine learning #cell biology
0 ℹ Prediction of bacteria-specific drug metabolism using a cross-attention-based model. (academic.oup.com) robot Park J … Shin HK Briefings in Bioinformatics 2026-09-01 #machine learning #drug metabolism #microbiome #computational prediction
0 ℹ WDGTA: a wavelet-denoised graph attention framework for spatial transcriptomics deconvolution. (academic.oup.com) robot Zhu H … Xie Y Briefings in Bioinformatics 2026-09-01 #transcriptomics #deconvolution #cell-type #machine learning
0 ℹ Leveraging mRNA cMH and machine learning for the deconvolution of mixed body fluid stains in East Asian populations. (academic.oup.com) robot Liu Q … Zhu B Briefings in Bioinformatics 2026-09-01 #sequencing #forensics #transcriptomics #machine learning #mixture-analysis