FoldDesign

FoldDesign generates de novo protein folds using sequence-independent fragment assembly simulations to explore protein structure and function space beyond templates in the Protein Data Bank (PDB).


Key Features:

  • Structure-Independent Design: Uses specific secondary structure (SS) assignments to generate novel protein folds without relying on pre-existing sequences or templates.
  • Replica-Exchange Monte Carlo Simulations: Performs sequence-independent replica-exchange Monte Carlo (REMC) simulations to assemble fragments and sample conformational space.
  • High Structural Fidelity: On 354 non-redundant topologies, recapitulates an average of 87.7% of input SS elements and yields scaffolds with buried and solvent-exposed residue patterns resembling native proteins.
  • Novel Global Folds: Produces scaffolds whose global folds are distinct from natural proteins in the PDB while maintaining local SS fidelity.
  • Optimal Energy Force Field and Auxiliary Movements: Employs an energy force field with balanced SS packing terms and utilizes multiple auxiliary movements to enhance REMC sampling.
  • Recognition of Uncommon Super-SS Geometries: Recognizes and assembles uncommon super-secondary structure (super-SS) geometries to enable generation of novel folds.

Scientific Applications:

  • Exploration of Novel Fold Space: Enables discovery of protein scaffolds beyond evolutionary and PDB-derived structural space.
  • Protein Function and Mechanism Studies: Facilitates investigation of structure–function relationships using designed scaffolds with tailored SS arrangements.
  • Design of Biomimetic Materials: Supports creation of novel protein-based scaffolds for biomimetic material development.
  • Protein Engineering for Industrial and Therapeutic Applications: Provides scaffolds for designing proteins with tailored properties for industrial and therapeutic uses.

Methodology:

Sequence-independent fragment assembly guided by specific SS assignments; sequence-independent replica-exchange Monte Carlo (REMC) simulations enhanced with multiple auxiliary movements; an energy force field including balanced SS packing terms; recognition and assembly of uncommon super-secondary structure (super-SS) geometries.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Added:
6/18/2024
Last Updated:
11/24/2024

Operations

Publications

Pearce R, Huang X, Omenn GS, Zhang Y. De novo protein fold design through sequence-independent fragment assembly simulations. Proceedings of the National Academy of Sciences. 2023;120(4). doi:10.1073/pnas.2208275120. PMID:36656852. PMCID:PMC9942881.

PMID: 36656852
PMCID: PMC9942881
Funding: - HHS | NIH | National Institute of General Medical Sciences: GM136422, S10OD026825 - Division of Intramural Research, National Institute of Allergy and Infectious Diseases: AI134678 - National Science Foundation: DBI2030790, IIS1901191, MTM2025426 - HHS | NIH | National Cancer Institute: U24CA210967 - HHS | NIH | National Institute of Environmental Health Sciences: P30ES017885