서울대학교 생물정보학 협동과정 주최로 세미나를 아래와 같이 열고자 하오니 많은 참여 바랍니다.

일시:　　2019년 11월 26일 화요일 오전 11시

연사:　 석차옥 교수님　(서울대학교)

장소:　　서울대학교　25-1동 1층 (국제회의실)

TITLE

What did DeepMind's AlphaFold contribute to the history of protein structure prediction?

ABSTRACT

　The protein structure prediction problem, also called protein folding problem, remains one of the most difficult, unsolved problems in science. This problem has been tackled since the first protein structure was unraveled by x-ray crystallography in 1958. In December 2018, the Guardians reported that DeepMind’s AlphaFold, a successor of AlphaGo, predicted 3D protein structures better than any other research groups in the international CASP protein structure prediction competition. Although AlphaFold did not appear out of nothing, it definitely inspired scientists including myself. In this seminar, I would like to share my own career history in protein structure prediction and to review how the protein structure prediction field evolved over the past CASPs including the advent of AlphaFold. If time allows, a view on how protein structure prediction can be applied to real world problems will be presented.