BioXcepTion
Computational
High School Student Research Team
ABOUT BioXcepTion
BioXcepTion is a high school student research team that encourages conducting cutting-edge research with a particular emphasis on Computational Biology, Computational Chemistry, and Artificial Intelligence. It was founded in 2017 by students interested in Biological and Chemical Sciences as well as Computer Science. Our team is highly interested and specialized in the domains of machine learning and deep learning, with the goal of resolving structural biology and structural chemistry problems.
Our research focus lies in Molecular Property & Interaction, Molecular Design & Discovery, and Molecular Representation & Learning with the goal of developing and leading to the understanding of molecular science knowledge that can be developed for innovation and industry applications. The main research employs knowledge relevant to Biochemistry & Molecular Biology, Chemistry, Pharmaceutical Sciences, and Computer Science, integrated with computational techniques such as Machine Learning, Deep Learning, Computational Biology, and Computational Chemistry.
Current research domains are included as follows:
1. Molecular Property & Interaction – focuses on the relationship of biomolecular structure, leading to predict molecular properties and interactions.
2. Molecular Design & Discovery – focuses on the structure of molecules and biomolecules, with the goal of discovering, designing, and understanding molecular phenomena.
3. Molecular Representation & Learning – focuses on designing and developing model architectures and feature engineering strategies to improve predictive performance for machine learning and deep learning models.
MISSION
1. Promote computational science research involves in biology and chemistry
2. Promote scientific learning and discovery in biochemistry, biology, and molecular biology along with computer science
3. Promote research presentation and publication in international conferences and peer-reviewed journals
4. Promote the development of essential skills for living in the community and modern world
5. Counseling for further study in science, engineering, and technology
OUR IDENTITY
Research Focuses
1. Machine learning and deep learning for drug response and drug combinations prediction to accelerate drug discovery
2. Machine learning and deep learning for cancer driver gene and biomarker discovery
3. Discovery of novel inhibitors for emerging infectious diseases (EIDs) and non-communicable diseases (NCDs)
4. Molecular dynamics of biological macromolecules to understand mechanisms and reactions
BASIC KNOWLEDGE
Recommended Introductory Videos
What is a protein?
By: RCSB
A basic introduction to drugs, drug targets, and molecular interactions
By: Schrödinger
Machine learning roadmap
By: Daniel Bourke
The 7 steps of machine learning
By: Google Cloud Tech
Introduction to Structural Bioinformatics
Machine Learning for Molecular Chemistry
Recommended Online Courses & Resources
Dept. Computer Engineering, Chulalongkorn University
MEET OUT TEAM
( Senior Advisors, Co-founders, and Research Alumni )
Jiramet Kinchakawat
KVIS
(Senior Advisor & Co-founder)
Dept. Bio and Brain Engineering, KAIST, South Korea (KAIST Scholarship)
Thanakrit Wongsatit
KVIS
(Senior Advisor & Co-founder)
Dept. Bio and Brain Engineering, KAIST, South Korea (KAIST Scholarship)
Anupap Chauyjaroensuk
KVIS
(Senior Advisor & Co-founder)
Dept. Biological Sciences, Kyoto University, Japan (Monbukagakusho: MEXT Scholarship)
Chawapon Tritipchatsakun
KVIS
(Research Alumni: 2018-2019)
Dept. Bio and Brain Engineering, KAIST, South Korea (KAIST Scholarship)
Thanis Prucksikanont
KVIS
(Research Alumni: 2018-2019)
Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand
Natthakan Saeng-nil
KVIS
(Research Alumni: 2019-2021)
Computer Engineering with a Second Major in Business Program, Nanyang Technological University (NTU), Singapore (ASEAN Undergraduate Scholarship)
Puri Virakarin
KVIS
(Research Alumni: 2019-2021)
Computer Engineering with Management (Double Major) Program, National University of Singapore (NUS), Singapore (ASEAN Undergraduate Scholarship)
Parajaree Ungudonpakdee
KVIS
(Research Alumni: 2020-2021)
Faculty of Medicine, Chiang Mai University, Thailand
Thanasan Kumdee
KVIS
(Research Alumni: 2020-2021)
Monbukagakusho: MEXT Scholarship in Natural Sciences, Japan
Pawit Kaewnuratchadasorn
MWIT
(Research Alumni: 2021-2021)
Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand
Nattawin Yamprasert
MWIT
(Research Alumni: 2021-2021)
Digital Engineering Program, Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand (Scholarships for Talented Students in Science & Technology)
Wutthipong Chongchareansanti
MWIT
(Research Alumni: 2021-2021)
Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand
( Research Students : 2020-2022 )
Theeradon Sakpetch
KVIS
Kamnoetvidya Science Academy
Phandej Soisamuth
KVIS
Kamnoetvidya Science Academy
( Research Students : 2021- )
Tisorn Naphattalung
KVIS
Kamnoetvidya Science Academy
Surapa Panjaphakdee
KVIS
Kamnoetvidya Science Academy
Matin Kositchutima
KVIS
Kamnoetvidya Science Academy
( Research Students : 2022- )
Kittiphat Pongarunotai
KVIS
Kamnoetvidya Science Academy
Panuwat Wongpattanawut
PCSHSM
Princess Chulabhorn Science High School Mukdahan
Phurivet Methmaolee
PCSHSM
Princess Chulabhorn Science High School Mukdahan
( Main Research Advisor )
Our Projects
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 Naphattalung, 2. Matin Kositchutima, 3. Kittiphat Pongarunotai
Advisors: Dr. Thanasan Nilsu and Bundit Boonyarit
School: Kamnoetvidya Science Academy (KVIS)
Year: 2022
Students: 1. Tisorn Naphattalung, 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. 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
OUR ACHIEVEMENTS
2022–2023
Enhancing Deep Learning Model Toward Predicting Synergistic Cancer Drug Combinations Based on Drug Structures and Multi-omics
Fair: Young Scientist Competition 2023 (YSC2023), Thailand
Date: January 28, 2023
By: 1. Tisorn Naphattalung, 2. Matin Kositchutima, and 3. Kittiphat Pongarunotai
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Machine Learning Assisted Biomarker Discovery for Lung Cancer Diagnosis Based on Multi-omics Data
Fair: Young Scientist Competition 2023 (YSC2023), Thailand
Date: January 23, 2023
By: 1. Panuwat Wongpattanawut, 2. Phurivet Methmaolee
Advisors: 1. Theerawut Chantapan and 2. Bundit Boonyarit
Semi-Supervised Learning with Graph Neural Networks for Drug Response Prediction Leads Discovery of HIV Inhibitors
Fair: Japan Super Science Fair 2022 (20th JSSF), Ritsumeikan Junior and Senior High School, Japan
Date: November 1 – 5, 2022
By: 1. Theeradon Sakpetch and 2. Phandej Soisamuth
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Semi-Supervised Learning with Graph Neural Networks to Improve the Predictive Performance of Drug Response for HIV-1 Protease Inhibitors
Fair: The 8th ASEAN Student Science Project Competition (ASPC 2022), Thailand
Date: May 16 & June 18, 2022
By: 1. Theeradon Sakpetch and 2. Phandej Soisamuth
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
2021–2022
CANDraGAT: A Hybrid Fragment-Based Graph Attention Network To Improve Cancer Drug Response Prediction
Link: https://projectboard.world/isef/project/86556
Fair: Regeneron International Science and Engineering Fair 2022 (Regeneron ISEF 2022), Atlanta, Georgia, USA
Date: May 7 – 13, 2022
By: 1. Pawit Kaewnuratchadasorn, 2. Nattawin Yamprasert, and 3. Wutthipong Chongchareansanti
Advisors: 1. Sarote Boonseng and 2. Bundit Boonyarit
Semi-Supervised Learning with Graph Neural Networks for Drug Response Prediction Leads Discovery of HIV Inhibitors
Fair: Genius Olympiad 2022, USA
Date: May 16 & June 18, 2022
By: 1. Theeradon Sakpetch and 2. Phandej Soisamuth
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Hybrid Graph Attention Networks Toward the Drug Sensitivity Prediction for Precision Oncology using Molecular Structure and Pharmacogenomic Data
Fair: Young Scientist Competition 2022 (YSC2022), Thailand
Date: March 7, 2022
By: 1. Pawit Kaewnuratchadasorn, 2. Nattawin Yamprasert, and 3. Wutthipong Chongchareansanti
Advisors: 1. Sarote Boonseng and 2. Bundit Boonyarit
Semi-Supervised Learning with Graph Neural Networks for Drug Response Prediction Leads Discovery of HIV Inhibitors
Fair: Young Scientist Competition 2022 (YSC2022), Thailand
Date: March 7, 2022
By: 1. Theeradon Sakpetch and 2. Phandej Soisamuth
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Machine Learning Enables Prediction for Enzyme Kinetics of Glycosidases Based on Molecular Descriptors and Physicochemical Properties
Fair: Young Scientist Competition 2022 (YSC2022), Thailand
Date: January 31, 2022
By: 1. Tisorn Naphattalung, 2. Surapa Panjaphakdee, and 3. Matin Kositchutima
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Deep Transfer Learning-Based Heart Failure Drug Classification on Small Datasets
Fair: 5th KVIS Invitational Science Fair (5th KVIS-ISF), Thailand
Date: January 28, 2022
By: 1. Parajaree Ungudonpakdee and 2. Thanasan Kumdee
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Application of Machine Learning Technique Assisted Prediction of Bioactivities of Ligands in Targeted Drug Discovery Process of Lung Cancer for EGFR Target
Fair: 5th KVIS Invitational Science Fair (5th KVIS-ISF), Thailand
Date: January 28, 2022
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
EGFRNet: Transfer and Multi-Task Learning Based on Graph Convolutional Network Toward Multi-Target Drug Discovery Against Cancers for EGFR-Family Proteins
Fair: Graduation ceremony for Vidyasirimedhi Institute of Science and Technology & Kamnoetvidya Science Academy, Thailand
Date: November 16, 2021
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Deep Transfer Learning-Based Heart Failure Drug Classification on Small Datasets
Fair: Asia Pacific Conference of Young Scientists 2021 (APCYS 2021), Mexico
Date: September 27 – October 1, 2021
By: 1. Parajaree Ungudonpakdee and 2. Thanasan Kumdee
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
An Integrated Multi-Task and Transfer Learning With Graph Convolutional Network Assisted Drug Response Prediction Leads Discovery of HIV/HCV Co-Inhibitors
Fair: International Students’ Science Fair 2021 & The 3rd Beihang International Science Fair (ISSF-BHISF 2021), China
Date: July 16 – 19, 2021
By: 1. Theeradon Sakpetch and 2. Phandej Soisamuth
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Deep Transfer Learning-Based Hit Compound Classification for Therapeutic Targets in Heart Failure Drug Discovery on Small Datasets
Fair: The Virtual Korea Science Academy of KAIST Science Fair (KSASF) 2021, South Korea
Date: June 29 – July 1, 2021
By: 1. Parajaree Ungudonpakdee and 2. Thanasan Kumdee
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
An Integrated Multi-Task and Transfer Learning With Graph Convolutional Network Assisted Drug Response Prediction Leads Discovery of HIV/HCV Co-Inhibitors
Fair: The Virtual Korea Science Academy of KAIST Science Fair (KSASF) 2021, South Korea
Date: June 29 – July 1, 2021
By: 1. Theeradon Sakpetch and 2. Phandej Soisamuth
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
2020–2021
EGFRNet: Transfer and Multi-Task Learning Based on Graph Convolutional Network Toward Multi-Target Drug Discovery Against Cancers for EGFR-Family Proteins
Link: https://projectboard.world/isef/project/56057
Fair: Regeneron International Science and Engineering Fair 2021 (Regeneron ISEF 2021), USA
Date: May 4 & 16 – 21, 2021
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Application of Machine Learning Technique Assisted Prediction of Bioactivities of Ligands in Targeted Drug Discovery Process of Lung Cancer for EGFR Target
Fair: Genius Olympiad 2021, USA (Postponed from 2020 due to COVID-19)
Date: May 15 & June 12, 2021
By: 1. Puri Virakarin and 2. Natthakan Saeng-nil
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Application of Machine Learning Technique Assisted Prediction of Bioactivities of Ligands in Targeted Drug Discovery Process of Lung Cancer for EGFR Target
Link: http://www.school.ioffe.ru/readings/2021/results2.html
Fair: The XXXI International Scientific Student Conference Sakharov Readings, Russia
Date: May 15, 2021
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Deep Transfer Learning-Based Hit Compound Classification for Therapeutic Targets in Heart Failure Drug Discovery on Small Datasets
Fair: The 21st Kolmogorov Readings, Russia
Date: May 3 – 6, 2021
By: 1. Parajaree Ungudonpakdee and 2. Thanasan Kumdee
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Application of Machine Learning Technique Assisted Prediction of Bioactivities of Ligands in Targeted Drug Discovery Process of Lung Cancer for EGFR Target
Fair: Young Scientist Competition 2021 (YSC2021), Thailand
Date: March 4 & 19, 2021
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
An Integrated Multi-Task Learning and Transfer Learning-Based Approach for Structure-Property Landscapes Leads Drug Discovery for Protease Inhibitors of HIV and HCV
Fair: Young Scientist Competition 2021 (YSC2021), Thailand
Date: January 25 & 31, 2021
By: 1. Theeradon Sakpetch and 2. Phandej Soisamuth
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
LigEGFR: Deep Learning-Assisted Drug Discovery for Lung Cancer
Fair: International Music, Science, Engineering Energy Fair 2020 (BUCA IMSEF 2020), Turkey
Date: December 14 – 18, 2020
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Deep Transfer Learning-Based Hit Compound Classification for Therapeutic Targets in Heart Failure Drug Discovery on Small Datasets
Fair: Young Scientist Competition 2021 (YSC2021), Thailand
Date: December 10 – 11, 2020
By: 1. Parajaree Ungudonpakdee and 2. Thanasan Kumdee
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
LigEGFR: Deep Learning-Assisted Drug Discovery Process of Lung Cancer for EGFR Target
Fair: Japan Super Science Fair 2020 (18th JSSF), Japan
Date: November 7 – 8, 2020
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
LigEGFR: Deep Learning-Assisted Drug Discovery for Lung Cancer
Fair: AI-JAM US Online Competition 2020, Silicon Valley, USA
Date: September 19, 2020
By: 1. Puri Virakarin and 2. Natthakan Saeng-nil
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
2019–2020
Application of Machine Learning Technique Assisted Prediction of Bioactivities of Ligands in Targeted Drug Discovery Process of Lung Cancer for EGFR Target
Fair: Young Scientist Competition 2020 (YSC2020), Thailand
Date: July 27, 2020
By: 1. Natthakan Saeng-nil and 2. Puri Virakarin
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Computational Analysis of Glucagon Receptor (GCGR) and Antagonists Structure for Further Screening Anti-diabetics compounds
Fair: Canada–Wide Science Fair 2020, Canada (Cancelled due to COVID-19)
Date: May 9 – 15, 2020
By: 1. Chawapon Tritipchatsakun and 2. Thanis Prucksikanont
Advisors: 1. Pimsiri Danphitsanuparn and 2. Bundit Boonyarit
Application of Machine Learning Technique Assisted Prediction of Bioactivities of Ligands in Targeted Drug Discovery Process of Lung Cancer for EGFR Target
Fair: Young Scientist Competition 2020 (YSC2020), Thailand
Date: January 31, 2020
By: 1. Puri Virakarin and 2. Natthakan Saeng-nil
Advisors: 1. Thanasan Nilsu and 2. Bundit Boonyarit
Computational Analysis of Glucagon Receptor (GCGR) and Antagonists Structure for Further Screening Anti-diabetics compounds
Fair: 16th International Students’ Science Fair (ISSF 2020) and 3rd KVIS Invitation Science Fair, 2020, Thailand
Date: January 15 – 20, 2020
By: 1. Chawapon Tritipchatsakun and 2. Thanis Prucksikanont
Advisors: 1. Pimsiri Danphitsanuparn and 2. Bundit Boonyarit
Computational Analysis of Glucagon Receptor (GCGR) and Antagonists Structure for Further Screening Anti-diabetics compounds
Fair: Graduation ceremony for Vidyasirimedhi Institute of Science and Technology & Kamnoetvidya Science Academy, Thailand
Date: November 11, 2019
By: 1. Chawapon Tritipchatsakun and 2. Thanis Prucksikanont
Advisors: 1. Pimsiri Danphitsanuparn and 2. Bundit Boonyarit
2018–2019
Studies on structure of glucagon receptor (GCGR) related to type 2 diabetes pathogenesis by computational biophysics methods
Fair: Singapore International Science Challenge – International Students’ Science Fair 2019 (SISC-ISSF 2019), Singapore
Date: March 17 – 22, 2019
By: 1. Chawapon Tritipchatsakun and 2. Thanis Prucksikanont
Advisors: 1. Pimsiri Danphitsanuparn and 2. Bundit Boonyarit
OUR PUBLICATION
(1) Puri Virakarin, Natthakan Saengnil, Bundit Boonyarit, Jiramet Kinchagawat, Rattasat Laotaew, Treephop Saeteng, Thanasan Nilsu, Naravut Suvannang, Thanyada Rungrotmongkol, and Sarana Nutanong. “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 (2020).
CONTACT
Bundit Boonyarit
Email: [email protected]
Email: [email protected]