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Andrew M Lynn

Showing results (1-10 of 70) with videos related to

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Bioinformation|October 31, 2025
Interpretable self-supervised contrastive learning for colorectal cancer histopathology: GRADCAM visualizationTarun Jain, Andrew M Lynn
Frontiers in Genetics|January 23, 2023
Mapping the FtsQBL divisome components in bacterial NTD pathogens as potential drug targetsHarbinder Kaur, Andrew M Lynn
Bioinformation|July 11, 2017
QSAR based predictive modeling for anti-malarial moleculesDeepak R Bharti, Andrew M Lynn
Computational Biology and Chemistry|December 2, 2019
Cytochrome P450 2C9 polymorphism: Effect of amino acid substitutions on protein flexibility in the presence of tamoxifenManish Manish, Andrew M Lynn, Smriti Mishra
Biopolymers|January 26, 2018
Alterations in local stability and dynamics of A4V SOD1 in the presence of trifluoroethanolVijay Kumar, Amresh Prakash, Andrew M Lynn
3 Biotech|December 18, 2018
Standardization of virtual-screening and post-processing protocols relevant to in-silico drug discoverySunita Gupta, Andrew M Lynn, Vibha Gupta
BMC Research Notes|February 6, 2016
Ethnobotanical perspective of antimalarial plants: traditional knowledge based studyAbdul Qayum, Rakesh Arya, Andrew M Lynn
Bioinformation|July 11, 2017
Identification of inhibitors against α-Isopropylmalate Synthase of Mycobacterium tuberculosis using docking-MM/PBSA hybrid approachPreeti Pandey, Andrew M Lynn, Pradipta Bandyopadhyay
Scientific Reports|May 5, 2025
Pancancer analysis of DNA damage repair gene mutations and their impact on immune regulatory gene expressionKanchana Yadav, Trishala Das, Andrew M Lynn
BMC Bioinformatics|October 20, 2020
Implementation of homology based and non-homology based computational methods for the identification and annotation of orphan enzymes: using Mycobacterium tuberculosis H37Rv as a case studySwati Sinha, Andrew M Lynn, Dhwani K Desai
Pageof 7

Showing results (1-10 of 70) with videos related to

Sort By:
Pageof 7
Bioinformation|October 31, 2025
Interpretable self-supervised contrastive learning for colorectal cancer histopathology: GRADCAM visualizationTarun Jain, Andrew M Lynn
Frontiers in Genetics|January 23, 2023
Mapping the FtsQBL divisome components in bacterial NTD pathogens as potential drug targetsHarbinder Kaur, Andrew M Lynn
Bioinformation|July 11, 2017
QSAR based predictive modeling for anti-malarial moleculesDeepak R Bharti, Andrew M Lynn
Computational Biology and Chemistry|December 2, 2019
Cytochrome P450 2C9 polymorphism: Effect of amino acid substitutions on protein flexibility in the presence of tamoxifenManish Manish, Andrew M Lynn, Smriti Mishra
Biopolymers|January 26, 2018
Alterations in local stability and dynamics of A4V SOD1 in the presence of trifluoroethanolVijay Kumar, Amresh Prakash, Andrew M Lynn
3 Biotech|December 18, 2018
Standardization of virtual-screening and post-processing protocols relevant to in-silico drug discoverySunita Gupta, Andrew M Lynn, Vibha Gupta
BMC Research Notes|February 6, 2016
Ethnobotanical perspective of antimalarial plants: traditional knowledge based studyAbdul Qayum, Rakesh Arya, Andrew M Lynn
Bioinformation|July 11, 2017
Identification of inhibitors against α-Isopropylmalate Synthase of Mycobacterium tuberculosis using docking-MM/PBSA hybrid approachPreeti Pandey, Andrew M Lynn, Pradipta Bandyopadhyay
Scientific Reports|May 5, 2025
Pancancer analysis of DNA damage repair gene mutations and their impact on immune regulatory gene expressionKanchana Yadav, Trishala Das, Andrew M Lynn
BMC Bioinformatics|October 20, 2020
Implementation of homology based and non-homology based computational methods for the identification and annotation of orphan enzymes: using Mycobacterium tuberculosis H37Rv as a case studySwati Sinha, Andrew M Lynn, Dhwani K Desai
Pageof 7