All Stories

  1. CROssBARv2: A Unified Computational Framework for Heterogeneous Biomedical Data Representation and LLM-Driven Exploration
  2. SELFormerMM: multimodal molecular representation learning via SELFIES, structure, text, and knowledge graph integration
  3. ECLIPSE: Exploration of Complex Ligand-Protein Interactions through Learning from Systems-level Heterogeneous Biomedical Knowledge Graphs
  4. Mpox: disease manifestations and therapeutic development
  5. Molecular Contrastive Learning with Graph Attention Network (MoCL-GAT) for Enhanced Molecular Representation
  6. Target-specific de novo design of drug candidate molecules with graph-transformer-based generative adversarial networks
  7. ProtHGT: Heterogeneous Graph Transformers for Automated Protein Function Prediction Using Biological Knowledge Graphs and Language Models
  8. A Benchmarking Platform for Assessing Protein Language Models on Function-related Prediction Tasks
  9. Protein language models for predicting drug–target interactions: Novel approaches, emerging methods, and future directions
  10. A Benchmarking Platform for Assessing Protein Language Models on Function-Related Prediction Tasks
  11. Design, synthesis, and evaluation of novel Indole‐Based small molecules as sirtuin inhibitors with anticancer activities
  12. Mutual annotation‐based prediction of protein domain functions with Domain2GO
  13. Democratizing knowledge representation with BioCypher
  14. SELFormer: molecular representation learning via SELFIES language models
  15. Transfer learning for drug–target interaction prediction
  16. How to approach machine learning-based prediction of drug/compound–target interactions
  17. ProFAB—open protein functional annotation benchmark
  18. ASCARIS: Positional feature annotation and protein structure-based representation of single amino acid variations
  19. Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features
  20. UniProt: the Universal Protein Knowledgebase in 2023
  21. ASCARIS: Positional Feature Annotation and Protein Structure-Based Representation of Single Amino Acid Variations
  22. Mutual Annotation-Based Prediction of Protein Domain Functions with Domain2GO
  23. SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins
  24. How to Best Represent Proteins in Machine Learning-based Prediction of Drug/Compound-Target Interactions
  25. Learning functional properties of proteins with language models
  26. A crowdsourcing open platform for literature curation in UniProt
  27. Editorial: Machine Learning Methodologies to Study Molecular Interactions
  28. Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools
  29. Protein domain-based prediction of drug/compound–target interactions and experimental validation on LIM kinases
  30. CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
  31. Protein Domain-Based Prediction of Compound–Target Interactions and Experimental Validation on LIM Kinases
  32. Crowdsourced mapping of unexplored target space of kinase inhibitors
  33. MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery
  34. UniProt: the universal protein knowledgebase in 2021
  35. Evaluation of Methods for Protein Representation Learning: A Quantitative Analysis
  36. CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
  37. iBioProVis: interactive visualization and analysis of compound bioactivity space
  38. DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations
  39. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
  40. FAIR adoption, assessment and challenges at UniProt
  41. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
  42. DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
  43. DEEPScreen: High Performance Drug-Target Interaction Prediction with Convolutional Neural Networks Using 2-D Structural Compound Representations
  44. ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature
  45. HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrences
  46. Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
  47. HPO2GO: prediction of human phenotype ontology term associations using cross ontology annotation co-occurrences
  48. A Structural Perspective on the Modulation of Protein-Protein Interactions with Small Molecules
  49. HPO2GO: prediction of human phenotype ontology term associations using cross ontology annotation co-occurrences
  50. HPO2GO: prediction of human phenotype ontology term associations using cross ontology annotation co-occurrences
  51. Phylogenetic and Other Conservation-Based Approaches to Predict Protein Functional Sites
  52. Large-scale automated protein function prediction and an experimental validation
  53. From the research laboratory to the database: the Caenorhabditis elegans kinome in UniProtKB
  54. UniProt: the universal protein knowledgebase
  55. An expanded evaluation of protein function prediction methods shows an improvement in accuracy
  56. UniProt Tools
  57. UniProt-DAAC: domain architecture alignment and classification, a new method for automatic functional annotation in UniProtKB
  58. The UniProtKB guide to the human proteome
  59. Tools and data services registry: a community effort to document bioinformatics resources
  60. Unsupervised identification of redundant domain entries in InterPro database using clustering techniques
  61. UniProt: a hub for protein information
  62. Activities at the Universal Protein Resource (UniProt)
  63. Automatic Identification of Highly Conserved Family Regions and Relationships in Genome Wide Datasets Including Remote Protein Sequences
  64. 2-D Thresholding of the Connectivity Map Following the Multiple Sequence Alignments of Diverse Datasets
  65. Evolutionary relationships between gene sequences via nonlinear embedding