The University of Osaka · 의학
Daron M. Standley 교수의 연구실은 구조계 생물정보학과 단백질 구조 예측을 중심으로, 면역세포 수용체(BCR/TCR)의 원자 해상도 모델링과 SARS-CoV-2 등 바이러스 단백질의 진화적 압력 분석을 수행합니다. 특히, 단백질의 기능적 도메인 분류와 구조 기반의 면역 반응 이해를 위한 고성능 알고리즘 개발에도 주력하고 있습니다. 연구는 실험 데이터와 구조 정보를 융합해 생물학적 기능을 해석하는 데 초점을 맞추고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Repertoire Builder (https://sysimm.org/rep_builder/) is a method for generating atomic-resolution, three-dimensional models of B cell receptors (BCRs) or T cell receptors (TCRs) from their amino acid sequences.
The Protein Data Bank Japan (PDBj) curates, edits and distributes protein structural data as a member of the worldwide Protein Data Bank (wwPDB) and currently processes approximately 25-30% of all deposited data in the world. Structural information is enhanced by the addition of biological and biochemical functional data as well as experimental details extracted from the literature and other databases. Several applications have been developed at PDBj for structural biology and biomedical studies
The SARS-CoV-2 S protein is a major point of interaction between the virus and the human immune system. As a consequence, the S protein is not a static target but undergoes rapid molecular evolution. In order to more fully understand the selection pressure during evolution, we examined residue positions in the S protein that vary greatly across closely related viruses but are conserved in the subset of viruses that infect humans. These "evolutionarily important" residues were not distributed eve
ASH shows high selectivity and sensitivity with regard to domain classification, an important step in defining distantly related protein sequence families. Moreover, the CPU cost per alignment is competitive with the fastest programs, making ASH a practical option for large-scale structure classification studies.
