target-prediction

There are 0 repository under target-prediction topic.

• lhm30 / PIDGINv3

  Protein target prediction using random forests and reliability-density neighbourhood analysis

  applicability-domaincheminformaticschemoinformaticsprotein-ligand-interactionsrdkitreliability-densitytarget-prediction
  Language:Python 41

• lhm30 / PIDGINv2

  PIDGIN Version 2: Prediction IncluDinG INactivity: Version 2 (LEGACY VERSION)

  targettarget-predictionstarget-predictionpubchemweightrandom-forestmoleculecheminformaticschemoinformatics
  Language:Python 30

• AstraZeneca / kgem-in-drug-discovery

  Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)

  drug-discoveryknowledge-graphknowledge-graph-embedding-modelsknowledge-graph-embeddingstarget-predictiondrug-discovery-knowledge-graph
  Language:Python 29

• ai4ce / EgoPAT3D

  [CVPR 2022] Egocentric Action Target Prediction in 3D

  3d-computer-visioncomputer-visiondatasetdeep-learningegocentric-visionhuman-robot-collaborationhuman-robot-interactionmachine-learningmultimodal-learningtarget-predictionwearable-robotics
  Language:Jupyter Notebook 28

• AstraZeneca / biomedical-kg-topological-imbalance

  Code to accompany the "Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs" (Briefings in Bioinformatics, 2022)

  drug-discoverydrug-discovery-knowledge-graphknowledge-graphknowledge-graph-completiontarget-prediction
  Language:Jupyter Notebook 14

• ShirleyWISiu / LigTMap

  LigTMap currently supports prediction for 17 protein target classes that include 6000+ protein targets.

  computational-chemistrycomputer-aided-drug-designdrug-discoverydrug-repurposingtarget-predictionprotein-ligand-docking
  Language:Python 12

• BenderGroup / PIDGINv4

  PIDGINv4

  cheminformaticsbioinformaticstarget-prediction
  Language:Python 9

• Heidelberg-NLP / CO-NNECT

  This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we developed for classifying commonsense knowledge relations; and COMET, a target prediction system developed by Bosselut et al., 2019.

  language-modelconceptnettarget-predictionrelation-classificationcommonsense-knowledgeknowledge-pathspath-generation
  Language:Python 9

• cvigilv / simspread

  De novo target prediction by chemical similarity-guided network-based inference

  cheminformaticsdrug-discoverydrug-target-interactionstarget-prediction
  Language:Julia 2

• maria-becker / CO-NNECT

  This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we developed for classifying commonsense knowledge relations; and COMET, a target prediction system developed by Bosselut et al., 2019.

  knowledge-pathsconceptnetcommonsense-knowledgepath-generationrelation-classificationtarget-predictionlanguage-models
  Language:Python 2

• biga94 / sRNA-target-prediction

  MD thesis' project, where I performed an In silico target prediction for small ncRNAs in Mycobacterium tuberculosis

  ncrnasrnasrna-seqtarget-prediction
  Language:R 0

• metamaden / PrImiR

  Database of pairwise consensuses for miR-mRNA target interactions

  mirnatarget-predictionmirna-mrna-interactionmirna-targetsmirna-databasecomputational-biologysystems-biologyepitranscriptomicstranscriptomicspost-transcriptional-regulationtarget-scanmirandamirdbmirtarbasemirmap
  Language:R