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  5. Computational Protein Design with a Comprehensive Statistical Energy Function and Boosted by an in v

Computational Protein Design with a Comprehensive Statistical Energy Function and Boosted by an in v

来源 :第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会 | 被引量 : 0次 | 上传用户：yifengwuyang
【摘 要】
：
　　The de novo design of amino acid sequences to fold into desired structures is a way to reach a more thorough understanding of how amino-acid sequences encod
【作 者】
：
Peng Xiong Meng Wang XiaoqunZhou Tongchuan Zhang Jiahai Zhang Quan Chen Haiyan Liu 
【机 构】
：
SchoolofLifeSciences,UniversityofScienceandTechnologyofChina,Hefei,Anhui,230027,ChinaSchoolofLifeSci
【出 处】
：
第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会
【发表日期】
：
2014年10期
【关键词】
：
protein design statistical energy function protein structure NMR 
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　　The de novo design of amino acid sequences to fold into desired structures is a way to reach a more thorough understanding of how amino-acid sequences encode protein structures and to supply methods for protein engineering.Notwithstanding significant breakthroughs, there are noteworthy limitations in current computational protein design.
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