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R Mahapatra

Showing results (1-10 of 150) with videos related to

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Ancient Science of Life|May 5, 2012
A study of psoriasis and the healing property of a new chemical compoundP R Mahapatra
Cardiovascular Research|June 11, 2008
Catestatin is a novel endogenous peptide that regulates cardiac function and blood pressureNitish R Mahapatra
Heliyon|November 6, 2019
Numerical simulation of MHD double diffusive natural convection and entropy generation in a wavy enclosure filled with nanofluid with discrete heatingRujda Parveen, T R Mahapatra
Hypertension Research : Official Journal of the Japanese Society of Hypertension|August 8, 2022
Renalase: a novel regulator of cardiometabolic and renal diseasesAnupama Vijayakumar, Nitish R Mahapatra
Journal of Bioinformatics and Computational Biology|March 3, 2018
Boosted neural networks scoring functions for accurate ligand docking and rankingHossam M Ashtawy, Nihar R Mahapatra
Journal of Chemical Information and Modeling|December 1, 2017
Task-Specific Scoring Functions for Predicting Ligand Binding Poses and Affinity and for Screening EnrichmentHossam M Ashtawy, Nihar R Mahapatra
BMC Bioinformatics|March 4, 2015
BgN-Score and BsN-Score: bagging and boosting based ensemble neural networks scoring functions for accurate binding affinity prediction of protein-ligand complexesHossam M Ashtawy, Nihar R Mahapatra
Journal of Chemical Information and Modeling|December 1, 2017
Descriptor Data Bank (DDB): A Cloud Platform for Multiperspective Modeling of Protein-Ligand InteractionsHossam M Ashtawy, Nihar R Mahapatra
BMC Bioinformatics|April 29, 2015
Machine-learning scoring functions for identifying native poses of ligands docked to known and novel proteinsHossam M Ashtawy, Nihar R Mahapatra
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
A Comparative Assessment of Predictive Accuracies of Conventional and Machine Learning Scoring Functions for Protein-Ligand Binding Affinity PredictionHossam M Ashtawy, Nihar R Mahapatra
Pageof 15

Showing results (1-10 of 150) with videos related to

Sort By:
Pageof 15
Ancient Science of Life|May 5, 2012
A study of psoriasis and the healing property of a new chemical compoundP R Mahapatra
Cardiovascular Research|June 11, 2008
Catestatin is a novel endogenous peptide that regulates cardiac function and blood pressureNitish R Mahapatra
Heliyon|November 6, 2019
Numerical simulation of MHD double diffusive natural convection and entropy generation in a wavy enclosure filled with nanofluid with discrete heatingRujda Parveen, T R Mahapatra
Hypertension Research : Official Journal of the Japanese Society of Hypertension|August 8, 2022
Renalase: a novel regulator of cardiometabolic and renal diseasesAnupama Vijayakumar, Nitish R Mahapatra
Journal of Bioinformatics and Computational Biology|March 3, 2018
Boosted neural networks scoring functions for accurate ligand docking and rankingHossam M Ashtawy, Nihar R Mahapatra
Journal of Chemical Information and Modeling|December 1, 2017
Task-Specific Scoring Functions for Predicting Ligand Binding Poses and Affinity and for Screening EnrichmentHossam M Ashtawy, Nihar R Mahapatra
BMC Bioinformatics|March 4, 2015
BgN-Score and BsN-Score: bagging and boosting based ensemble neural networks scoring functions for accurate binding affinity prediction of protein-ligand complexesHossam M Ashtawy, Nihar R Mahapatra
Journal of Chemical Information and Modeling|December 1, 2017
Descriptor Data Bank (DDB): A Cloud Platform for Multiperspective Modeling of Protein-Ligand InteractionsHossam M Ashtawy, Nihar R Mahapatra
BMC Bioinformatics|April 29, 2015
Machine-learning scoring functions for identifying native poses of ligands docked to known and novel proteinsHossam M Ashtawy, Nihar R Mahapatra
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
A Comparative Assessment of Predictive Accuracies of Conventional and Machine Learning Scoring Functions for Protein-Ligand Binding Affinity PredictionHossam M Ashtawy, Nihar R Mahapatra
Pageof 15