DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists

por Schaduangrat, Nalini, Anuwongcharoen, Nuttapat, Charoenkwan, Phasit, Shoombuatong, Watshara
Publicado 2023

Machine Learning Approaches to Investigate the Structure–Activity Relationship of Angiotensin-Converting Enzyme Inhibitors

por Yu, Tianshi, Nantasenamat, Chanin, Anuwongcharoen, Nuttapat, Piacham, Theeraphon
Publicado 2023

Exploring the chemical space of influenza neuraminidase inhibitors

por Anuwongcharoen, Nuttapat, Shoombuatong, Watshara, Tantimongcolwat, Tanawut, Prachayasittikul, Virapong, Nantasenamat, Chanin
Publicado 2016

Cheminformatic Analysis and Machine Learning Modeling to Investigate Androgen Receptor Antagonists to Combat Prostate Cancer

por Yu, Tianshi, Nantasenamat, Chanin, Kachenton, Supicha, Anuwongcharoen, Nuttapat, Piacham, Theeraphon
Publicado 2023

Machine learning approaches to study the structure-activity relationships of LpxC inhibitors

por Yu, Tianshi, Chong, Li Chuin, Nantasenamat, Chanin, Anuwongcharoen, Nuttapat, Piacham, Theeraphon
Publicado 2023

Privileged substructures for anti-sickling activity via cheminformatic analysis

por Phanus-umporn, Chuleeporn, Shoombuatong, Watshara, Prachayasittikul, Veda, Anuwongcharoen, Nuttapat, Nantasenamat, Chanin
Publicado 2018

Correction: Privileged substructures for anti-sickling activity via cheminformatic analysis

por Phanus-umporn, Chuleeporn, Shoombuatong, Watshara, Prachayasittikul, Veda, Anuwongcharoen, Nuttapat, Nantasenamat, Chanin
Publicado 2018

StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy

por Schaduangrat, Nalini, Anuwongcharoen, Nuttapat, Moni, Mohammad Ali, Lio’, Pietro, Charoenkwan, Phasit, Shoombuatong, Watshara
Publicado 2022

Towards combating antibiotic resistance by exploring the quantitative structure-activity relationship of NDM-1 inhibitors

por Yu, Tianshi, Ahmad Malik, Aijaz, Anuwongcharoen, Nuttapat, Eiamphungporn, Warawan, Nantasenamat, Chanin, Piacham, Theeraphon
Publicado 2022

Roles of d-Amino Acids on the Bioactivity of Host Defense Peptides

por Li, Hao, Anuwongcharoen, Nuttapat, Malik, Aijaz Ahmad, Prachayasittikul, Virapong, Wikberg, Jarl E. S., Nantasenamat, Chanin
Publicado 2016

osFP: a web server for predicting the oligomeric states of fluorescent proteins

por Simeon, Saw, Shoombuatong, Watshara, Anuwongcharoen, Nuttapat, Preeyanon, Likit, Prachayasittikul, Virapong, Wikberg, Jarl E. S., Nantasenamat, Chanin
Publicado 2016

Navigating the chemical space of dipeptidyl peptidase-4 inhibitors

por Shoombuatong, Watshara, Prachayasittikul, Veda, Anuwongcharoen, Nuttapat, Songtawee, Napat, Monnor, Teerawat, Prachayasittikul, Supaluk, Prachayasittikul, Virapong, Nantasenamat, Chanin
Publicado 2015

Discovery of novel 1,2,3-triazole derivatives as anticancer agents using QSAR and in silico structural modification

por Prachayasittikul, Veda, Pingaew, Ratchanok, Anuwongcharoen, Nuttapat, Worachartcheewan, Apilak, Nantasenamat, Chanin, Prachayasittikul, Supaluk, Ruchirawat, Somsak, Prachayasittikul, Virapong
Publicado 2015

Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking

por Simeon, Saw, Anuwongcharoen, Nuttapat, Shoombuatong, Watshara, Malik, Aijaz Ahmad, Prachayasittikul, Virapong, Wikberg, Jarl E.S., Nantasenamat, Chanin
Publicado 2016

Origin of aromatase inhibitory activity via proteochemometric modeling

por Simeon, Saw, Spjuth, Ola, Lapins, Maris, Nabu, Sunanta, Anuwongcharoen, Nuttapat, Prachayasittikul, Virapong, Wikberg, Jarl E.S., Nantasenamat, Chanin
Publicado 2016

Exploring the Chemical Space of CYP17A1 Inhibitors Using Cheminformatics and Machine Learning

por Yu, Tianshi, Huang, Tianyang, Yu, Leiye, Nantasenamat, Chanin, Anuwongcharoen, Nuttapat, Piacham, Theeraphon, Ren, Ruobing, Chiang, Ying-Chih
Publicado 2023