SYNBIP: synthetic binding proteins for research, diagnosis and therapy

被引:56
作者
Wang, Xiaona [1 ]
Li, Fengcheng [2 ]
Qiu, Wenqi [3 ,4 ]
Xu, Binbin [1 ]
Li, Yanlin [1 ]
Lian, Xichen [2 ]
Yu, Hongyan [1 ]
Zhang, Zhao [1 ]
Wang, Jianxin [5 ]
Li, Zhaorong [6 ]
Xue, Weiwei [1 ]
Zhu, Feng [1 ,2 ,6 ]
机构
[1] Chongqing Univ, Sch Pharmaceut Sci, Chongqing 401331, Peoples R China
[2] Zhejiang Univ, Coll Pharmaceut Sci, Hangzhou 310058, Zhejiang, Peoples R China
[3] Univ Hong Kong, HKU SZH, Dept Surg, Hong Kong, Peoples R China
[4] Univ Hong Kong, Fac Med, Hong Kong, Peoples R China
[5] Cent South Univ, Sch Comp Sci & Engn, Changsha 410083, Peoples R China
[6] Zhejiang Univ, Innovat Inst Artificial Intelligence Med, Alibaba Zhejiang Univ Joint Res Ctr Future Digita, Hangzhou 330110, Peoples R China
基金
中国国家自然科学基金;
关键词
ANKYRIN REPEAT PROTEINS; RAPID DISCOVERY; NECROTIC CELLS; SCAFFOLDS; DESIGN; PLATFORM; RECOGNITION; GENERATION; MONOBODIES; DATABASE;
D O I
10.1093/nar/gkab926
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The success of protein engineering and design has extensively expanded the protein space, which presents a promising strategy for creating next-generation proteins of diverse functions. Among these proteins, the synthetic binding proteins (SBPs) are smaller, more stable, less immunogenic, and better of tissue penetration than others, which make the SBP-related data attracting extensive interest from worldwide scientists. However, no database has been developed to systematically provide the valuable information of SBPs yet. In this study, a database named 'Synthetic Binding Proteins for Research, Diagnosis, and Therapy (SYNBIP)' was thus introduced. This database is unique in (a) comprehensively describing thousands of SBPs from the perspectives of scaffolds, biophysical & functional properties, etc.; (b) panoramically illustrating the binding targets & the broad application of each SBP and (c) enabling a similarity search against the sequences of all SBPs and their binding targets. Since SBP is a human-made protein that has not been found in nature, the discovery of novel SBPs relied heavily on experimental protein engineering and could be greatly facilitated by in-silico studies (such as AI and computational modeling). Thus, the data provided in SYNBIP could lay a solid foundation for the future development of novel SBPs. The SYNBIP is accessible without login requirement at both official (https://idrblab.org/synbip/) and mirror (http://synbip.idrblab.net/) sites.
引用
收藏
页码:D560 / D570
页数:11
相关论文
共 120 条
  • [1] Rosetta and the Journey to Predict Proteins' Structures, 20 Years on
    Abbass, Jad
    Nebel, Jean-Christophe
    [J]. CURRENT BIOINFORMATICS, 2020, 15 (06) : 611 - 628
  • [2] State-of-the-art web services for de novo protein structure prediction
    Abriata, Luciano A.
    Dal Peraro, Matteo
    [J]. BRIEFINGS IN BIOINFORMATICS, 2021, 22 (03)
  • [3] PyIgClassify: a database of antibody CDR structural classifications
    Adolf-Bryfogle, Jared
    Xu, Qifang
    North, Benjamin
    Lehmann, Andreas
    Dunbrack, Roland L., Jr.
    [J]. NUCLEIC ACIDS RESEARCH, 2015, 43 (D1) : D432 - D438
  • [4] Recent Advances in the Scaffold Engineering of Protein Binders
    Ahmadi, Mohammad Karimi Baba
    Mohammadi, Seyed Abolgasem
    Makvandi, Manoochehr
    Mamouei, Morteza
    Rahmati, Mohammad
    Dehghani, Hesam
    Wood, David W.
    [J]. CURRENT PHARMACEUTICAL BIOTECHNOLOGY, 2021, 22 (07) : 878 - 891
  • [5] Unified rational protein engineering with sequence-based deep representation learning
    Alley, Ethan C.
    Khimulya, Grigory
    Biswas, Surojit
    AlQuraishi, Mohammed
    Church, George M.
    [J]. NATURE METHODS, 2019, 16 (12) : 1315 - +
  • [6] BASIC LOCAL ALIGNMENT SEARCH TOOL
    ALTSCHUL, SF
    GISH, W
    MILLER, W
    MYERS, EW
    LIPMAN, DJ
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) : 403 - 410
  • [7] ICD-11
    不详
    [J]. LANCET, 2019, 393 (10188) : 2275 - 2275
  • [8] ICD-11: in praise of good data
    不详
    [J]. LANCET INFECTIOUS DISEASES, 2018, 18 (08) : 813 - 813
  • [9] [Anonymous], 2015, NAT METHODS, V12, P373
  • [10] Innovation by Evolution: Bringing New Chemistry to Life (Nobel Lecture)
    Arnold, Frances H.
    [J]. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2019, 58 (41) : 14420 - 14426