Topic: drug-targets Goto Github
Some thing interesting about drug-targets
Some thing interesting about drug-targets
drug-targets,Initial data release for drug-target interactions of the cancer targetome.
User: ablucher
drug-targets,Official implementation of DrugGEN in PyTorch
User: asarigun
Home Page: https://arxiv.org/abs/2302.07868
drug-targets,Search across publicly available datasets to find instances where a drug or cell line of interest has been profiled.
Organization: bhklab
Home Page: http://pharmacodb.pmgenomics.ca/
drug-targets,Search across publicly available datasets to find instances where a drug or cell line of interest has been profiled.
Organization: bhklab
Home Page: https://pharmacodb.ca/
drug-targets,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.
User: cansudincer
drug-targets,PyMOL extension to map a protein pocket, generated from PockDrug, to the full protein structure.
User: cbalbin-bio
drug-targets,Automatic extraction of interacting compound-target pairs from ChEMBL.
Organization: chembl
drug-targets,Web Interface for ChEMBL @ EMBL-EBI
Organization: chembl
Home Page: https://www.ebi.ac.uk/chembl/
drug-targets,This repository contain all the file necessary to download, compute and statistically validate the pairwise interaction between Drug side effects and Drug Targets
User: cristian931
drug-targets,
Organization: deib-geco
drug-targets,Integration of pharmacological and drop-out CRISPR-Cas9 screens
User: emanuelgoncalves
drug-targets,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.
User: marateb
drug-targets,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.
User: naeemmrz
Home Page: https://ynlab.mu.edu.tr/en/mdm2pred-6997
drug-targets,Using Multi-Label KNN to predict drug activity
User: ronlee12355
drug-targets,Targeted and non-targeted anticancer drugs and drug regimens
User: sigven
Home Page: https://sigven.github.io/pharmOncoX/
drug-targets,Repository for the HackBio'2021 Internship for Team Drug-Development-A
User: ssiddhantsharma
Home Page: https://ssiddhantsharma.github.io/deep-purpose-tutorial/
drug-targets,Repository for Multi Omics data Integration for Transcriptomics and Metabolomics in RA mouse models
User: tandreani
drug-targets,Analysis of COVID19 Candidates using molecular descriptors from mol2 files
User: tonibois
Home Page: https://www.nature.com/articles/srep43738
drug-targets,Personalised scoring system for lung cancer patients that enables ranking of the activated interventional nodes.
User: vvrahul11
drug-targets,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.
User: yogionbioinformatics
Home Page: https://www.merck.com/research/mrl-labs.html
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