Combining Deep Learning and Structural Modeling to Identify Potential Acetylcholinesterase Inhibitors from Hericium erinaceus
Thana Sutthibutpong,
Kewalin Posansee,
Monrudee Liangruksa,
Teerasit Termsaithong,
Supanida Piyayotai,
Paripok Phitsuwan,
Patchreenart Saparpakorn,
Supa Hannongbua,
Teeraphan Laomettachit
Affiliations
Thana Sutthibutpong
Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand
Kewalin Posansee
Theoretical and Computational Physics Group, Department of Physics, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand
Monrudee Liangruksa
National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
Teerasit Termsaithong
Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand
Supanida Piyayotai
Learning Institute, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand
Paripok Phitsuwan
Division of Biochemical Technology, School of Bioresources and Technology, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
Patchreenart Saparpakorn
Department of Chemistry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Supa Hannongbua
Department of Chemistry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Teeraphan Laomettachit
Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand
