Scaffolding protein functional sites using deep learning.
Scaffolding protein functional sites using deep learning.
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使用深度学习构建蛋白质功能位点。
DOI:
10.1126/science.abn2100
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发表时间:
2022-07-22
期刊:
影响因子:
--
通讯作者:
中科院分区:
文献类型:
--
作者:
The binding and catalytic functions of proteins are generally mediated by a small number of functional residues held in place by the overall protein structure. We describe deep learning approaches for scaffolding such functional sites without needing to pre-specify the fold or secondary structure of the scaffold. The first approach, “constrained hallucination”, optimizes sequences such that their predicted structures contain the desired functional site. The second approach, “inpainting”, starts from the functional site and fills in additional sequence and structure to create a viable protein scaffold in a single forward pass through a specifically trained RosettaFold network. We use the methods to design candidate immunogens, receptor traps, metalloproteins, enzymes, and protein-binding proteins, and validate the designs using a combination of in silico and experimental tests.
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影响因子:
64.8
作者:
Chevalier A;Silva DA;Rocklin GJ;Hicks DR;Vergara R;Murapa P;Bernard SM;Zhang L;Lam KH;Yao G;Bahl CD;Miyashita SI;Goreshnik I;Fuller JT;Koday MT;Jenkins CM;Colvin T;Carter L;Bohn A;Bryan CM;Fernández-Velasco DA;Stewart L;Dong M;Huang X;Jin R;Wilson IA;Fuller DH;Baker D
通讯作者:
Baker D
影响因子:
64.8
作者:
Jumper J;Evans R;Pritzel A;Green T;Figurnov M;Ronneberger O;Tunyasuvunakool K;Bates R;Žídek A;Potapenko A;Bridgland A;Meyer C;Kohl SAA;Ballard AJ;Cowie A;Romera-Paredes B;Nikolov S;Jain R;Adler J;Back T;Petersen S;Reiman D;Clancy E;Zielinski M;Steinegger M;Pacholska M;Berghammer T;Bodenstein S;Silver D;Vinyals O;Senior AW;Kavukcuoglu K;Kohli P;Hassabis D
通讯作者:
Hassabis D
影响因子:
2.9
作者:
Calhoun, JR;Nastri, F;DeGrado, WF
通讯作者:
DeGrado, WF
DOI:
10.1038/nsb0794-453
发表时间:
1994-07-01
期刊:
NATURE STRUCTURAL BIOLOGY
影响因子:
--
作者:
FROLOW, F;KALB, AJ;YARIV, J
通讯作者:
YARIV, J
影响因子:
3.7
作者:
Li, Ling;Liu, Yukan;Tang, Ruikang
通讯作者:
Tang, Ruikang