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Chanin Nantasenamat

Showing results (1-10 of 141) with videos related to

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Expert Opinion on Drug Discovery|February 20, 2015
Maximizing computational tools for successful drug discoveryChanin Nantasenamat, Virapong Prachayasittikul
Peerj|December 26, 2019
Toward insights on determining factors for high activity in antimicrobial peptides via machine learningHao Li, Chanin Nantasenamat
EXCLI Journal|September 8, 2018
Unraveling the bioactivity of anticancer peptides as deduced from machine learningWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
Plos One|May 3, 2013
Molecular modeling of the human hemoglobin-haptoglobin complex sheds light on the protective mechanisms of haptoglobinChanin Nantasenamat, Virapong Prachayasittikul, Leif Bulow
Genomics|September 4, 2021
Toward insights on antimicrobial selectivity of host defense peptides via machine learning model interpretationHao Li, Thinam Tamang, Chanin Nantasenamat
EXCLI Journal|May 29, 2018
Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathyChadinee Thippakorn, Nalini Schaduangrat, Chanin Nantasenamat
EXCLI Journal|September 8, 2018
Towards understanding aromatase inhibitory activity via QSAR modelingWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
Peerj|July 21, 2021
ERpred: a web server for the prediction of subtype-specific estrogen receptor antagonistsNalini Schaduangrat, Aijaz Ahmad Malik, Chanin Nantasenamat
Materials Science & Engineering. C, Materials for Biological Applications|May 24, 2017
Molecularly imprinted polymer for human viral pathogen detectionAijaz Ahmad Malik, Chanin Nantasenamat, Theeraphon Piacham
EXCLI Journal|February 1, 2018
Data mining for the identification of metabolic syndrome statusApilak Worachartcheewan, Nalini Schaduangrat, Virapong Prachayasittikul, et al.
Pageof 15

Showing results (1-10 of 141) with videos related to

Sort By:
Pageof 15
Expert Opinion on Drug Discovery|February 20, 2015
Maximizing computational tools for successful drug discoveryChanin Nantasenamat, Virapong Prachayasittikul
Peerj|December 26, 2019
Toward insights on determining factors for high activity in antimicrobial peptides via machine learningHao Li, Chanin Nantasenamat
EXCLI Journal|September 8, 2018
Unraveling the bioactivity of anticancer peptides as deduced from machine learningWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
Plos One|May 3, 2013
Molecular modeling of the human hemoglobin-haptoglobin complex sheds light on the protective mechanisms of haptoglobinChanin Nantasenamat, Virapong Prachayasittikul, Leif Bulow
Genomics|September 4, 2021
Toward insights on antimicrobial selectivity of host defense peptides via machine learning model interpretationHao Li, Thinam Tamang, Chanin Nantasenamat
EXCLI Journal|May 29, 2018
Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathyChadinee Thippakorn, Nalini Schaduangrat, Chanin Nantasenamat
EXCLI Journal|September 8, 2018
Towards understanding aromatase inhibitory activity via QSAR modelingWatshara Shoombuatong, Nalini Schaduangrat, Chanin Nantasenamat
Peerj|July 21, 2021
ERpred: a web server for the prediction of subtype-specific estrogen receptor antagonistsNalini Schaduangrat, Aijaz Ahmad Malik, Chanin Nantasenamat
Materials Science & Engineering. C, Materials for Biological Applications|May 24, 2017
Molecularly imprinted polymer for human viral pathogen detectionAijaz Ahmad Malik, Chanin Nantasenamat, Theeraphon Piacham
EXCLI Journal|February 1, 2018
Data mining for the identification of metabolic syndrome statusApilak Worachartcheewan, Nalini Schaduangrat, Virapong Prachayasittikul, et al.
Pageof 15