CoLiDe

CoLiDe generates combinatorial protein libraries by designing degenerate DNA templates with an evolutionary algorithm to explore diverse protein sequence spaces.


Key Features:

  • Precision in Sequence Design: Uses an evolutionary algorithm to design degenerate DNA templates that control protein sequence composition, length, and diversity.
  • Versatility Across Input Alphabets: Supports four input alphabet distributions across various sequence lengths for different design scenarios.
  • High Diversity Output: Produces libraries encompassing approximately 10^11 to 10^12 unique protein sequences.
  • Experimental Pipeline Integration: Includes model design and an experimental pipeline for expression and purification of protein libraries.

Scientific Applications:

  • Drug discovery: Enables exploration of large sequence spaces to identify novel protein candidates relevant to therapeutic discovery.
  • Enzyme engineering: Supports design and screening of enzyme variant libraries for activity and specificity optimization.
  • Synthetic biology: Facilitates construction of diverse functional protein parts for synthetic biology applications.
  • Functional genomics and proteomics: Enables systematic sampling of sequence-function relationships to study protein function and interaction dynamics.

Methodology:

Employs an evolutionary algorithm to design degenerate DNA templates for systematic exploration of protein sequence space, guided by user-defined parameters for composition and diversity.

Topics

Details

License:
MIT
Tool Type:
desktop application, library
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
11/24/2024

Operations

Publications

Tretyachenko V, Voráček V, Souček R, Fujishima K, Hlouchová K. CoLiDe: Combinatorial Library Design tool for probing protein sequence space. Bioinformatics. 2020;37(4):482-489. doi:10.1093/bioinformatics/btaa804. PMID:32956450. PMCID:PMC8088326.

PMID: 32956450
PMCID: PMC8088326
Funding: - Czech Science Foundation: 17-10438Y - Human Frontiers Science Program: RGY0074/2019 - Charles University Grant Agency: 260572/2020