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Mohammad Ali Moni

Showing results (31-40 of 186) with videos related to

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Journal of Computer-Aided Molecular Design|October 25, 2022
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptidesPhasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Briefings in Bioinformatics|April 11, 2021
Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19Md Rabiul Auwul, Md Rezanur Rahman, Esra Gov, et al.
BMC Bioinformatics|October 26, 2012
Modelling osteomyelitisPietro Liò, Nicola Paoletti, Mohammad Ali Moni, et al.
Computers in Biology and Medicine|June 17, 2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptidesPhasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', et al.
ACS Omega|November 21, 2022
iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of DipeptidesPhasit Charoenkwan, Nalini Schaduangrat, Pietro Lio, et al.
Scientific Reports|September 30, 2022
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategyNalini Schaduangrat, Nuttapat Anuwongcharoen, Mohammad Ali Moni, et al.
Journal of Personalized Medicine|May 5, 2021
Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical CancerArafat Rahman Oany, Mamun Mia, Tahmina Pervin, et al.
EXCLI Journal|June 2, 2022
Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteinsPhasit Charoenkwan, Nalini Schaduangrat, Md Mehedi Hasan, et al.
Journal, Genetic Engineering & Biotechnology|March 20, 2021
Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspectiveRakibul Islam, Liton Ahmed, Bikash Kumar Paul, et al.
International Journal of Molecular Sciences|December 10, 2021
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation LearningPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Pageof 19

Showing results (31-40 of 186) with videos related to

Sort By:
Pageof 19
Journal of Computer-Aided Molecular Design|October 25, 2022
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptidesPhasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, et al.
Briefings in Bioinformatics|April 11, 2021
Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19Md Rabiul Auwul, Md Rezanur Rahman, Esra Gov, et al.
BMC Bioinformatics|October 26, 2012
Modelling osteomyelitisPietro Liò, Nicola Paoletti, Mohammad Ali Moni, et al.
Computers in Biology and Medicine|June 17, 2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptidesPhasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', et al.
ACS Omega|November 21, 2022
iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of DipeptidesPhasit Charoenkwan, Nalini Schaduangrat, Pietro Lio, et al.
Scientific Reports|September 30, 2022
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategyNalini Schaduangrat, Nuttapat Anuwongcharoen, Mohammad Ali Moni, et al.
Journal of Personalized Medicine|May 5, 2021
Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical CancerArafat Rahman Oany, Mamun Mia, Tahmina Pervin, et al.
EXCLI Journal|June 2, 2022
Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteinsPhasit Charoenkwan, Nalini Schaduangrat, Md Mehedi Hasan, et al.
Journal, Genetic Engineering & Biotechnology|March 20, 2021
Identification of molecular biomarkers and pathways of NSCLC: insights from a systems biomedicine perspectiveRakibul Islam, Liton Ahmed, Bikash Kumar Paul, et al.
International Journal of Molecular Sciences|December 10, 2021
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation LearningPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Pageof 19