SYNBIP

SYNBIP provides a curated database of synthetic binding proteins (SBPs) with detailed annotations of scaffolds, biophysical properties, binding targets, and sequences to support research in protein engineering, diagnostics, and therapeutic development.


Key Features:

  • Comprehensive Descriptions: A catalog of thousands of SBPs with scaffold information, biophysical properties, and functional annotations.
  • Binding Targets and Applications: Curated mappings that illustrate SBP binding targets and their associated research, diagnostic, or therapeutic applications.
  • Sequence-Based Similarity Search: Sequence-similarity search functionality across SBP sequences and their binding targets.

Scientific Applications:

  • In‑silico studies: Enables artificial intelligence and computational modeling approaches for SBP discovery and design.
  • Experimental protein engineering: Facilitates selection and design of SBP scaffolds and variants for laboratory engineering efforts.
  • Diagnostics and therapeutics development: Supports identification and development of SBPs for diagnostic assays and therapeutic candidates.

Methodology:

Integrates curated SBP annotations, binding-target illustrations, and sequence-based similarity search capabilities.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
3/13/2022
Last Updated:
3/13/2022

Operations

Data Inputs & Outputs

Backbone modelling

Inputs

Outputs

Publications

Wang X, Li F, Qiu W, Xu B, Li Y, Lian X, Yu H, Zhang Z, Wang J, Li Z, Xue W, Zhu F. SYNBIP: synthetic binding proteins for research, diagnosis and therapy. Nucleic Acids Research. 2021;50(D1):D560-D570. doi:10.1093/nar/gkab926. PMID:34664670. PMCID:PMC8728148.

PMID: 34664670
PMCID: PMC8728148
Funding: - Entrepreneurship and Innovation Support Plan for Chinese Overseas Students of Chongqing: cx2020127 - Natural Science Foundation of Zhejiang Province: LR21H300001 - National Natural Science Foundation of China: 81872798, U1909208 - Fundamental Research Fund for the Central Universities: 2018QNA7023, 2019CDYGYB005 - Key R&D Program of Zhejiang Province: 2020C03010