BpForms

BpForms represents the molecular structures of DNA, RNA, and proteins, including non-canonical residues, caps, crosslinks, nicks, and circular topologies, to enable precise description of macromolecular primary structure for integration and modeling.


Key Features:

  • Detailed Molecular Descriptions: BpForms encodes both canonical and non-canonical monomeric units and captures crosslinks, nicks, caps, and circular topologies in DNA, RNA, and proteins.
  • Integration Across Omics: BpForms provides a standardized format that facilitates integration of macromolecular structural information across epigenomics, transcriptomics, and proteomics for systems biology and synthetic biology.
  • Support for Non-Canonical Modifications: BpForms represents non-canonical residues, caps, crosslinks, and nicks to enable accurate representation of modified macromolecules.
  • Enhanced Collaboration and Model Development: BpForms enables consistent quality control and information exchange to support collaborative development of whole-cell computational models.

Scientific Applications:

  • Quality Control in Omics Research: Standardizing representation of complex molecular structures to assist rigorous quality control of omics data.
  • Systems Biology Modeling: Enabling assembly of global models that incorporate post-translational modifications and other non-canonical interactions.
  • Bioengineering Design: Providing structural representations to support design of cells with expanded genetic codes and synthetic parts.

Methodology:

BpForms employs a structured approach to represent macromolecules as combinations of their fundamental structural components.

Topics

Details

License:
MIT
Maturity:
Emerging
Cost:
Free of charge
Tool Type:
api, command-line tool, library, web application
Programming Languages:
Python
Added:
5/22/2020
Last Updated:
11/24/2024

Operations

Publications

Lang PF, Chebaro Y, Zheng X, P. Sekar JA, Shaikh B, Natale DA, Karr JR. BpForms and BcForms: a toolkit for concretely describing non-canonical polymers and complexes to facilitate global biochemical networks. Genome Biology. 2020;21(1). doi:10.1186/s13059-020-02025-z. PMID:32423472. PMCID:PMC7236495.

Documentation

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