drug-targets

There are 20 repositories under drug-targets topic.

  • chembl/GLaDOS

    Web Interface for ChEMBL @ EMBL-EBI

    Language:JavaScript47165196

  • bhklab/PharmacoDB

    Search across publicly available datasets to find instances where a drug or cell line of interest has been profiled.

    Language:JavaScript46112149

  • sigven/pharmOncoX

    Targeted and non-targeted anticancer drugs and drug regimens

    Language:R28201

  • ablucher/The-Cancer-Targetome

    Initial data release for drug-target interactions of the cancer targetome.

    Language:Java13502

  • chembl/compound_target_pairs_dataset

    Automatic extraction of interacting compound-target pairs from ChEMBL.

    Language:Python1220

  • DEIB-GECO/NMTF-DrugRepositioning

    Language:Jupyter Notebook12612
  • deep-purpose-tutorial

    ssiddhantsharma/deep-purpose-tutorial

    Repository for the HackBio'2021 Internship for Team Drug-Development-A

    Language:Jupyter Notebook122013

  • asarigun/DrugGEN

    Official implementation of DrugGEN in PyTorch

    Language:Python9600

  • EmanuelGoncalves/dtrace

    Integration of pharmacological and drop-out CRISPR-Cas9 screens

    Language:Jupyter Notebook7212

  • bhklab/PharmacoDB-JS

    Search across publicly available datasets to find instances where a drug or cell line of interest has been profiled.

    Language:JavaScript552180

  • YogiOnBioinformatics/Computational-Drug-Discovery-Internship-at-Merck

    Description of work done at Merck pharmaceutical company in the summer of 2018 as a Computational Drug Discovery Intern at West Point, PA. Information excludes all proprietary information belonging to Merck & Co.

    Language:Python4102

  • cbalbin-bio/pymol-map-pocket

    PyMOL extension to map a protein pocket, generated from PockDrug, to the full protein structure.

    Language:Python3100

  • cristian931/T-ARDIS

    This repository contain all the file necessary to download, compute and statistically validate the pairwise interaction between Drug side effects and Drug Targets

    Language:Shell2131

  • CansuDincer/ProGoF

    Retrieval of the disease association and evidence from the Open Targets Platform, annotation of the association evidence through Clinvar, Sequence Ontology and PanelApp APIs, and finally filter and prioritise the protective targets when they possess LoF.

    Language:Python1100

  • Ronlee12355/Multi-Label-KNN

    Using Multi-Label KNN to predict drug activity

    Language:R1102

  • tAndreani/MultiOmics_RA

    Repository for Multi Omics data Integration for Transcriptomics and Metabolomics in RA mouse models

    Language:HTML1100

  • vvrahul11/SIMS-Cancer-Drug-Recommendation-System

    Personalised scoring system for lung cancer patients that enables ranking of the activated interventional nodes.

    Language:R1402

  • marateb/Drug-Targets-Classification

    The Sample MATLAB Code and dataset for “Systems Biology and Machine Learning Approaches Identify Drug Targets in Diabetic Nephropathy” paper, by Maryam Abedi, Hamid Reza Marateb, Mohammad Reza Mohebian, Seyed Hamid Aghaee-Bakhtiari, Seyed Mahdi Nassiri, and Yousof Gheisari, submitted to Scientific Reports.

    0101

  • naeemmrz/MDM2pred

    MDM2pred is a machine learning application based on the KNNRegressor algorithm, it's trained on 1647 known inhibitors of the human E3 ubiquitin ligase (Mouse Double Minute 2; MDM2), the primary negative regulator of the well-known tumor suppressor p53. The KNN model backing MDM2pred achieves ~0.74 R² on test compounds (cross-validated) and has an RMSE of ~0.70 (pIC50 unit), the application takes the SMILE of any compound and predicts its pIC50 against MDM2, returning the result as IC50.

    Language:Python0201

  • tonibois/PED_MolecularDescriptors

    Analysis of COVID19 Candidates using molecular descriptors from mol2 files

    Language:Jupyter Notebook0000