Exploiting data driven computational approaches for understanding protein structure and function in InterPro and Pfam

利用数据驱动的计算方法来理解 InterPro 和 Pfam 中的蛋白质结构和功能

• 批准号: BB/S020039/1
• 负责人: Christine Orengo
• 金额: $ 3.42万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FS020039%2F1
• 关键词: Exploiting; data; driven; computational; approaches

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

GTR目前尚未用于所有资助研究的摘要。这通常是因为提交提案时不需要摘要，但可能是因为它包含了敏感信息，例如个人详细信息。

项目成果

SARS-CoV-2 spike protein predicted to form complexes with host receptor protein orthologues from a broad range of mammals.

• DOI: 10.1038/s41598-020-71936-5
• 发表时间: 2020-10-05
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Lam SD;Bordin N;Waman VP;Scholes HM;Ashford P;Sen N;van Dorp L;Rauer C;Dawson NL;Pang CSM;Abbasian M;Sillitoe I;Edwards SJL;Fraternali F;Lees JG;Santini JM;Orengo CA
• 通讯作者: Orengo CA