All Stories

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