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Asst.Prof.Dr. SUPANIDA PIYAYOTAI

Email: supanida.hom@kmutt.ac.th

Phone: 024708395

Work Affiliations

Strategic Research Themes

Publications

● Combining Deep Learning and Structural Modeling to Identify Potential Acetylcholinesterase Inhibitors from Hericium erinaceus; Sutthibutpong, Thana; Posansee, Kewalin; Liangruksa, et al.; 2024; Journal article
● A deep learning-based approach for identifying new acetylcholinesterase inhibitors from mushroom molecular database for Alzheimer's disease; Thana Sutthibutpong, Kewalin Posansee, Monrudee Liangruksa, et al.; 2023; Poster
● De Novo Design of Molecules with Multiaction Potential from Differential Gene Expression using Variational Autoencoder; Nutaya Pravalphruekul, Maytus Piriyajitakonkij, Phond Phunchongharn, et al.; 2023; Journal article
● Predicting small molecule bioactivity with machine intelligence; Nutaya Pravalphruekul, Teeraphan Laomettachit, Monrudee Liangruksa, et al.; 2023; Poster
● Self-supervised Learning for Drug Synergy Prediction with Small Data Set; Klaikeaw, Tanakrit; Piyayotai, Supanida; Phunchongharn, et al.; 2023; Conference proceedings article
● Predicting Synergistic Drug Interaction with DNN and GAT; Nichakorn Numcharoenpinij, Teerasit Termsaithong, Phond Phunchongharn, et al.; 2022; Conference proceedings article

Expertise

Cognitive Neuroscience
Drug Discovery
Neurobiology
Neuropharmacology