DTIP-TC2A: An analytical framework for drug-target interactions prediction methods

Author:

Keyvanpour Mohammad Reza,Haddadi Faraneh,Mehrmolaei Soheila

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference108 articles.

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2. Pharmaceutical drug development: high drug prices and the hidden role of public funding;Annett;Biol. Fut.,2021

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5. DASPfind: new efficient method to predict drug–target interactions;Ba-Alawi;J. Cheminf.,2016

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2. Prediction of Drug-Target Interactions Through the Application of Supervised Machine Learning Algorithms;2023 International Conference on Emerging Research in Computational Science (ICERCS);2023-12-07

3. Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study;Engineering Applications of Artificial Intelligence;2023-11

4. A Comparative Analytical Review on Machine Learning Methods in Drugtarget Interactions Prediction;Current Computer-Aided Drug Design;2023-10

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