slider1
Biomolecular Artificial Intelligence & Digital Biology
slider2
Computational Structural Biology & Machine Learning for Biomolecules
slider3
Molecular Machine Learning & Chemoinformatics for Drug Discovery
slider4
Computational Structure-based Drug Discovery
slider5
Molecular Modeling & Molecular Dynamics Simulation for Biomolecules
" SUCCESS DOES NOT COME FROM SMARTNESS
BUT IT'S CAUSED BY THE IMPLEMENTATION. "
MY ACHIEVEMENTS
Play Video
-
2023
JSTP Mentor for High School Student and Received Long-term Scholarship, National Science and Technology Development Agency (NSTDA)
-
2023
Research Advisor for Genius Olympiad Finalists and Received Honorable Mention Award in Science, Genius Olympiad 2023
-
2023
Research Advisor for ISEF Finalists and Received Fourth Place Award in Computational Biology and Bioinformatics, Regeneron ISEF 2023
-
2023
Research Advisor for High School Students and Received Top Award and First Award of Thailand in Interdisciplinary Fields (Computational Biology & Bioinformatics), and Second Award of Thailand in Computer Science, Young Scientist Competition (YSC) 2023
-
2022
Research Advisor for Genius Olympiad Finalists and Received Bronze Medal in Science, Genius Olympiad 2022
-
2022
Research Advisor for ISEF Finalists and Received First Place Award in Computational Biology and Bioinformatics, Regeneron ISEF 2022
-
2022
Research Advisor for High School Students and Received Top Award, First Award, and Second Award of Thailand in Interdisciplinary Fields (Computational Biology & Bioinformatics), Young Scientist Competition (YSC) 2022
-
2021
Research Advisor for Genius Olympiad Finalists and Received Gold Medal in Science, Genius Olympiad 2021
-
2021
Research Advisor for ISEF Finalists and Received First Place Award in Computational Biology and Bioinformatics, Regeneron ISEF 2021
-
2021
Research Advisor for High School Students and Received Championship of Thailand in Computer Science, Young Scientist Competition (YSC) 2021
-
2020
Research Advisor for High School Students and Received Championship of Thailand in Computer Science, Young Scientist Competition (YSC) 2020
-
2018
Ph.D. scholarship from Vidyasirimedhi Institute of Science and Technology and PTT Group, and SCB
-
2015
Academic Activist and Person who made reputation for Faculty of Science, Prince of Songkla University, Hatyai Campus, Thailand
-
2015
Young Thai Science Ambassador 2014, National Science Museum, Thailand
-
2014
The 11th True Young Webmaster Camp
-
2013
Intermediate level (Band 4 of 6) in the PSU English Test
-
2012
JSTP scholarship student, National Science and Technology Development Agency, Thailand
-
2008 – 2010
Computer Olympiad Camp (POSN), 1st & 2nd camps, Walailak University, Thailand
EXPERIENCES
Recent Invited Talks
-
Talk 94 – Paperwork, Project Display and Project Materials Preparation & Effective Design for Project Display, Quad Chart, and Project Presentation
for Regeneron ISEF 2024 Finalists (Fair: Young Scientist Competition (YSC), THA002)
Organized by National Science and Technology Development Agency (NSTDA)
Venue: Sirindhorn Science Home, Science Park, Pathum Thani and Siam Commercial Bank Training Center (Tawanron Beach), Chonburi
Date: Mar 17-19, 2024
-
Talk 93 – Science Project Commentator and Committee in Final Round (Committee for Special Awards)
The Twenty-Sixth Young Scientist Competition (YSC 2024)
Organized by National Science and Technology Development Agency (NSTDA)
Venue: Sirindhorn Science Home, Thailand Science Park, Pathum Thani
Date: Mar 2-3, 2024
-
Talk 92 – Improving Research Report and Quad Chart Camp
for teachers and high school students who have been selected as representatives to participate in the GENIUS Olympiad
The network level of Enrichment Program of Science, Mathematics, Technology and Environment (SMTE)
Organized by National Science and Technology Development Agency (NSTDA) and Office of the Basic Education Commission (OBEC)
Venue: Sirindhorn Science Home, Thailand Science Park, Pathum Thani
Date: Feb 24-25, 2024
Outstanding Extracurricular Activities
-
Regeneron International Science and Engineering Fair 2022 (Regeneron ISEF 2022)
Thai Interpreter
Year: 2022 -
Thailand Machine Learning for Chemistry Competition (TMLCC)
Organizer and Speaker
Lecture: Machine Learning for Molecular Chemistry in a Nutshell
Year: 2021 -
The White Room Enterprise Co., Ltd.
Co-founder
Science camps for students interested in science and education and charity camps for students underprivileged in science education
Year: 2012 – Present -
12th Young Webmaster Camp, Thailand Webmaster Association
Organizer
Year: 2015
Research Experience
-
Computational Screening of Tripeptides Against Kinase-Domain for Human Epidermal Growth Factor Receptor 2 (HER2)
Research Experience at NSTDA, Thailand (JSTP Scholarship)
Mentors: Assoc. Prof. Dr. Kiattawee Choowongkomon, Dr. Sissades Tongsima
Year: 2014 – 2017 -
Characterization of Gelatin From Silver Carp Skin As Influenced by Acid Pretreatment
Research Experience at Fac. Agro-Industry, PSU, Thailand (JSTP Scholarship)
Mentor: Prof. Dr. Soottawat Benjakul
Year: 2011 – 2012
Play Video
Play Video
Play Video
Play Video
RESEARCH INTERESTS
The research focus lies in Molecular Property & Interaction, Molecular Design & Discovery, and Molecular Representation & Learning, aiming to advance the understanding of biomolecular science for innovative and industrial applications. The main research integrates relevant knowledge from Biochemistry, Chemistry, Pharmaceutical Sciences, and Computer Science, employing computational techniques such as machine learning, deep learning, computational biology, and computational chemistry.
The current research themes, collectively termed “CompBio3D – Computational Biomolecular Discovery, Design, and Development”, encompass the following areas:
-
Molecular Property & Interaction
focuses on elucidating the relationship of biomolecular structure, leading to molecular properties and interactions predictions.
-
Molecular Design & Discovery
focuses on the structural analysis of biomolecules to facilitate the discovery, design, and understanding of molecular phenomena.
-
Molecular Representation & Learning
focuses on the design and development of model architectures and feature engineering strategies, enhancing the predictive performance of machine learning and deep learning models in biomolecular science.
- Computational Chemistry
- Computational Biology
- Structural Bioinformatics
- Drug Discovery
- Machine Learning
- Deep Learning
Current Projects
-
Machine Learning and Computer for Drug Design and Discovery:
(1) Tyrosine kinases -
Machine Learning for Cancers Prediction and Diagnosis based-on Multi-omics Data:
(1) Cancers Drug Response
(2) Cancer Driver Genes and Biomarkers -
Computational Biology and Machine Learning for Protein Structure Analysis:
(1) Chitin degradation proteins
(2) Asgard archaea proteins
- Graph Neural Networks
- Molecular Representation Learning
- Unsupervised Pretraining
- Cancer Driver Gene
- Cancer Biomarker
- Cancer Drug Response
- Cancer Drug Combinations
- Multi-omics
- Molecular Docking
- Molecular Dynamics Simulation
Research Publications
-
Virakarin, P., Saengnil, N., Boonyarit, B., Kinchagawat, J., Laotaew, R., Saeteng, T., Nilsu, T., Suvannang, N., Rungrotmongkol, T. & Nutanong, S. (2020). LigEGFR: Spatial graph embedding and molecular descriptors assisted bioactivity prediction of ligand molecules for epidermal growth factor receptor on a cell line-based dataset. bioRxiv.
-
Boonyarit B, Mokmak W, Tongsima S, & Choowongkomon K. (2016). Computational screening of tripeptides against kinase-domain for human epidermal growth factor receptor 2 (HER2). The 42nd Congress on Science and Technology of Thailand (STT42), 495-504.
Research Collaborations
-
Prof. Dr. Wipa Suginta
School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology, Wang Chan, Rayong, Thailand
-
Prof. Robert (Bob) Charles Robinson
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology, Wang Chan, Rayong, Thailand
- Research Institute of Interdisciplinary Science, Okayama University, Japan -
Assoc. Prof. Dr. Thanyada Rungrotmongkol
Department of Biochemistry, Faculty of Science, Chulalongkorn University, Pathum Wan, Bangkok, Thailand
RESEARCH ADVISEMENT
Students: 1. Panuwat Wongpattanawut, 2. Phurivet Methmaolee
Advisors: Theerawut Chantapan and Bundit Boonyarit
School: Princess Chulabhorn Science High School Mukdahan
Year: 2022
Students: 1. Tisorn Na phattalung, 2. Matin Kositchutima, 3. Kittiphat Pongarunotai
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2022
Students: 1. Tisorn Na phattalung, 2. Surapa Panjaphakdee, 3. Matin Kositchutima
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2021 – 2022
Students: 1. Pawit Kaewnuratchadasorn, 2. Wutthipong Chongchareansanti, 3. Nattawin Yamprasert
Advisors: Dr. Sarote Boonseng and Bundit Boonyarit
School: Mahidol Wittayanusorn School (MWIT)
Year: 2021 – 2022
Students: 1. Thiranich Sawatdipap, 2. Phanfa Laohasinnuruk
Advisors: Dr. Tanawan Leeboonngam and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2021 – 2022
Students: 1. Theeradon Sakpetch, 2. Phandej Soisamuth
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2021 – 2022
Students: 1. Parajaree Ungudonpakdee, 2. Thanasan Kumdee
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2020 – 2021
Students: 1. Theeradon Sakpetch, 2. Phandej Soisamuth
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2020 – 2021
Students: 1. Natthakan Saeng-nil, 2. Puri Virakarin
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2020 – 2021
Students: 1. Natthakan Saeng-nil, 2. Puri Virakarin
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2019 – 2020
Students: 1. Chawapon Tritipchatsakun, 2. Thanis Prucksikanont
Advisors: Pimsiri Danphitsanuparn and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2018 – 2019
- Graph Convolutional Network (GCN)
- Graph Attention Network (GAT)
- Spatial Graph Embedding Network
- Transfer Learning
- Multi-task Learning
- Semi-Supervised Learning
- Unsupervised Pretraining
BioXcepTion is a high school student research team with a particular emphasis on Computational Biology, Computational Chemistry, and Artificial Intelligence.
(Click arrow for more information about our student research team)
PERSONAL
I also have other interests including graphics design, presentation design, web design, online learning design, and server administration.
Graphics & Presentation Design
I have been interested in graphics and presentation design since I was an undergraduate student. I am most good a PR media design such as posters, brochures, and book covers. I have also been invited to lecture on the design for research presentation to school students and researchers.
Online Learning Design
I got an excellent chance from the Department of Chemistry, Faculty of Science Chulalongkorn University to build online learning for Stereochemistry Lecture Series. This lesson is used in organic chemistry classes for undergraduate students. The instructional material includes videos and interactive activities.
Server Administration
I also have been interested in server administration for computational science research. In basic, I have used CentOS operating system and Slurm job scheduler for operation and management. For more detail, you can visit my GitHub for the setup instruction.
CONTACT
Bundit Boonyarit
Email: [email protected]
Email: [email protected]