윤석준 약력
■ Research Interest
1 AI models for biological data
2 Omics data-driven biomedical research and drug discovery
3 Computer-aided drug discovery (CADD)
4 High-throughput screening of drug targets and biomarkers
5 Protein sequence–structure–function relationships
■ Education
- 1989, 서울대학교 학사
- 1993, 서울대학교 석사
- 1998, 삼양사 의약연구소 연구원, 대전
- 2003, Ph.D, UMDNJ-Rutgers University (Informatics Institute), New Jersey, USA
- 2005, 박사후연구원, ArQule, Unc., USA
■ Selected Publications
- NetCrafter: Ontology-derived Gene Network Modeling and Functional Interpretation, 2026, Briefings in Bioinformatics
- Current advances in comprehensive omics data mining for oncology and cancer research, 2024, Biochim Biophys Acta Rev Cancer
- Q-omics: Smart Software for Assisting Oncology and Cancer Research, 2021, Molecules and cells
- Loss-of-function screens of druggable targetome against cancer stem-like cells, 2015, FASEB J
- MACE: Mutation-oriented profiling of chemical response and gene expression in cancers, 2015, Bioinformatics
- NetCSSP: web application for predicting chameleon sequences and amyloid fibril formation, 2009, Nucleic Acids Research
