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BMC Bioinformatics|November 21, 2013
Cheminformatic models based on machine learning for pyruvate kinase inhibitors of Leishmania mexicanaSalma Jamal, Vinod ScariaPeerj|August 2, 2014
Data-mining of potential antitubercular activities from molecular ingredients of traditional Chinese medicinesSalma Jamal, Vinod Scaria, Molecular Informatics|August 5, 2016
Cheminformatics Based Machine Learning Models for AMA1-RON2 Abrogators for Inhibiting Plasmodium falciparum Erythrocyte InvasionPriyank Maindola, Salma Jamal, Abhinav GroverPlos One|September 14, 2016
Computational Analysis and Predictive Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic ModifiersSalma Jamal, Sonam Arora, Vinod ScariaFrontiers in Pharmacology|July 30, 2019
Machine Learning From Molecular Dynamics Trajectories to Predict Caspase-8 Inhibitors Against Alzheimer's DiseaseSalma Jamal, Abhinav Grover, Sonam GroverBMC Bioinformatics|February 20, 2013
Predictive modeling of anti-malarial molecules inhibiting apicoplast formationSalma Jamal, Vinita Periwal, , et al.Journal of Cheminformatics|August 15, 2012
Computational analysis and predictive modeling of small molecule modulators of microRNASalma Jamal, Vinita Periwal, , et al.Journal of Cellular Biochemistry|November 25, 2016
Computational Screening and Exploration of Disease-Associated Genes in Alzheimer's DiseaseSalma Jamal, Sukriti Goyal, Asheesh Shanker, et al.BMC Genomics|October 21, 2016
Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genesSalma Jamal, Sukriti Goyal, Asheesh Shanker, et al.Combinatorial Chemistry & High Throughput Screening|February 1, 2017
Machine Learning and Molecular Dynamics Based Insights into Mode of Actions of Insulin Degrading Enzyme ModulatorsSalma Jamal, Sukriti Goyal, Asheesh Shanker, et al.Pageof 6