PROTEIN SURFACE DATABASE WITH FAST QUERIES FOR HOMOLOGY

具有快速同源性查询的蛋白质表面数据库

• 批准号: 2794836
• 负责人: RICHARD Masten FINE
• 金额: $ 41.45万
• 依托单位: STRUCTURAL PROTEOMICS, INC.
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-15 至 2001-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2794836
• 关键词: Internet; chemical information system; computer human interaction; computer program /software; computer simulation; protein sequence; protein structure function; surface property

DESCRIPTION: (adapted from applicant's abstract) Development of a facile, web-based environment for the characterization and detailed comparison of protein surfaces is proposed. Five principal components will be utilized: 1. a web server (providing surface viewing capabilities to non-expert users); 2 a database (consisting of processed PDB files); 3. a suite of comparison tools ; 4. a detailed characterization of proteins within selected families, and 5. a novel query engine. Given the fact that important features can differ significantly in prominence, it has proven difficult to study protein surfaces for recognition and comparison. To deal with this difficulty, the investigators have adopted a hierarchical topographical primary sketch (TPS) from computer vision that permits varying degrees of surface smoothing. Features extracted from this hierarchy are used to 'tokenize' the surface. The tokens so provided correspond to features that can be naturally ranked by topographical prominence. The TPS organize a database that contains a full biochemical/biophysical description of underlying surface patches. This enables a rich specification of descriptors that can be used for matching in database queries and allows for meaningful comparison of surfaces within protein families. The program GRASP will be used to extend the surface visualization capabilities, and coupled to the server's query engines and underlying databases. Thus, the user will be provided with a timely tool for the interpretation and comparison of structure-function relationships within and across protein families. This search engine will be important to the emerging field of structural genomics. PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE

描述：（改编自申请人的摘要）开发一款便笺，