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Welcome to the DrugMiner. Welcome to the DrugMiner (drug target database) homepage. If you make use of the data presented here, please cite the following article in addition to the primary data sources:. Jamali, A.A., Ferdousi, R., Razzaghi, S., Li, J., Safdari, R., Ebrahimie, E., DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins,. 21 (5), 718-724. http:/ dx.doi.org/10.1016/j.drudis.2016.01.007. Export to Reference Manager.

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Welcome to the DrugMiner. Welcome to the DrugMiner (drug target database) homepage. If you make use of the data presented here, please cite the following article in addition to the primary data sources:. Jamali, A.A., Ferdousi, R., Razzaghi, S., Li, J., Safdari, R., Ebrahimie, E., DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins,. 21 (5), 718-724. http:/ dx.doi.org/10.1016/j.drudis.2016.01.007. Export to Reference Manager.
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Drug Miner page-index | drugminer.org Reviews

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Welcome to the DrugMiner. Welcome to the DrugMiner (drug target database) homepage. If you make use of the data presented here, please cite the following article in addition to the primary data sources:. Jamali, A.A., Ferdousi, R., Razzaghi, S., Li, J., Safdari, R., Ebrahimie, E., DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins,. 21 (5), 718-724. http:/ dx.doi.org/10.1016/j.drudis.2016.01.007. Export to Reference Manager.

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We have identified novel features that are important in an interaction between drug and protein. These new features as well as other known features have been integrated in machine learning framework for the training of our target prediction model. The coming version of DrugMiner will be established to predict possible interactions between drugs and proteins. 2- How to perform search? DrugMiner has provided user-friendly approaches to mine druggable proteins within human proteins. Protein Uniprot ID (.

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Vls3d - Targets, Target-ligand

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Doctoral school for therapeutic Innovation. Computational Biology and Chemistry. Protein, DNA, RNA, Glycan modeling. Protein-protein docking, template-based docking. Hotspots, Interace residues, PPI modulators. PPI databases, network. Binding pockets and ligand-pocket datasets. Peptides, antibodies, epitopes. Visualization - commercial tools. Chemistry toolkits and utilities. Manage collections - chemical space. ADMET- physchem predictions - related tools. Off-targets, drug repurposing. Prediction of ant...

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Drug Miner page-index

Welcome to the DrugMiner. Welcome to the DrugMiner (drug target database) homepage. If you make use of the data presented here, please cite the following article in addition to the primary data sources:. Jamali, A.A., Ferdousi, R., Razzaghi, S., Li, J., Safdari, R., Ebrahimie, E., DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins,. 21 (5), 718-724. http:/ dx.doi.org/10.1016/j.drudis.2016.01.007. Export to Reference Manager.

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