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Open AccessJournal ArticleDOI

Rosetta FlexPepDock ab-initio: simultaneous folding, docking and refinement of peptides onto their receptors.

TLDR
The results presented here significantly extend the scope of state-of-the-art methods for high-resolution peptide modeling, which can now be applied to a wide variety of peptide-protein interactions where no prior information about the peptide backbone conformation is available, enabling detailed structure-based studies and manipulation of those interactions.
Abstract
Flexible peptides that fold upon binding to another protein molecule mediate a large number of regulatory interactions in the living cell and may provide highly specific recognition modules. We present Rosetta FlexPepDock ab-initio, a protocol for simultaneous docking and de-novo folding of peptides, starting from an approximate specification of the peptide binding site. Using the Rosetta fragments library and a coarse-grained structural representation of the peptide and the receptor, FlexPepDock ab-initio samples efficiently and simultaneously the space of possible peptide backbone conformations and rigid-body orientations over the receptor surface of a given binding site. The subsequent all-atom refinement of the coarse-grained models includes full side-chain modeling of both the receptor and the peptide, resulting in high-resolution models in which key side-chain interactions are recapitulated. The protocol was applied to a benchmark in which peptides were modeled over receptors in either their bound backbone conformations or in their free, unbound form. Near-native peptide conformations were identified in 18/26 of the bound cases and 7/14 of the unbound cases. The protocol performs well on peptides from various classes of secondary structures, including coiled peptides with unusual turns and kinks. The results presented here significantly extend the scope of state-of-the-art methods for high-resolution peptide modeling, which can now be applied to a wide variety of peptide-protein interactions where no prior information about the peptide backbone conformation is available, enabling detailed structure-based studies and manipulation of those interactions.

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Citations
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Journal ArticleDOI

Improved Docking of Polypeptides with Glide

TL;DR: The optimized polypeptide protocol is most accurate for extended peptides of limited size and number of formal charges, defining a domain of applicability for this approach.
Journal ArticleDOI

Coarse-Grained Protein Models and Their Applications

TL;DR: An overview of coarse-grained models focusing on their design, including choices of representation, models of energy functions, sampling of conformational space, and applications in the modeling of protein structure, dynamics, and interactions are provided.
Journal ArticleDOI

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Julia Koehler Leman, +117 more
- 01 Jul 2020 - 
TL;DR: This Perspective reviews tools developed over the past five years in the Rosetta software, including over 80 methods, and discusses improvements to the score function, user interfaces and usability.
Journal ArticleDOI

A Comprehensive Review on Current Advances in Peptide Drug Development and Design.

TL;DR: An updated review on key developments of computational modeling of peptide–protein interactions (PepPIs) with an aim to assist experimental biologists exploit suitable docking methods to advance peptide interfering strategies against PPIs.
References
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Journal ArticleDOI

The Protein Data Bank

TL;DR: The goals of the PDB are described, the systems in place for data deposition and access, how to obtain further information and plans for the future development of the resource are described.
Journal ArticleDOI

Protein secondary structure prediction based on position-specific scoring matrices

TL;DR: A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices generated by PSI-BLAST and achieved an average Q3 score of between 76.5% to 78.3% depending on the precise definition of observed secondary structure used, which is the highest published score for any method to date.
Journal ArticleDOI

Knowledge-based protein secondary structure assignment.

Dmitrij Frishman, +1 more
- 01 Dec 1995 - 
TL;DR: An automatic algorithm STRIDE for protein secondary structure assignment from atomic coordinates based on the combined use of hydrogen bond energy and statistically derived backbone torsional angle information is developed.
Book ChapterDOI

Protein Structure Prediction Using Rosetta

TL;DR: This chapter elaborates protein structure prediction using Rosetta, where short fragments of known proteins are assembled by a Monte Carlo strategy to yield native-like protein conformations.
Journal ArticleDOI

Assembly of cell regulatory systems through protein interaction domains.

TL;DR: The sequencing of complete genomes provides a list that includes the proteins responsible for cellular regulation, but this does not immediately reveal what these proteins do, nor how they are assembled into the molecular machines and functional networks that control cellular behavior.
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