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Evaluating the accuracy of protein design using native secondary sub-structures.

ABSTRACT: According to structure-dependent function of proteins, two main challenging problems called Protein Structure Prediction (PSP) and Inverse Protein Folding (IPF) are investigated. In spite of IPF essential applications, it has not been investigated as much as PSP problem. In fact, the ultimate goal of IPF problem or protein design is to create proteins with enhanced properties or even novel functions. One of the major computational challenges in protein design is its large sequence space, namely searching through all plausible sequences is impossible. Inasmuch as, protein secondary structure represents an appropriate primary scaffold of the protein conformation, undoubtedly studying the Protein Secondary Structure Inverse Folding (PSSIF) problem is a quantum leap forward in protein design, as it can reduce the search space. In this paper, a novel genetic algorithm which uses native secondary sub-structures is proposed to solve PSSIF problem. In essence, evolutionary information can lead the algorithm to design appropriate amino acid sequences respective to the target secondary structures. Furthermore, they can be folded to tertiary structures almost similar to their reference 3D structures.The proposed algorithm called GAPSSIF benefits from evolutionary information obtained by solved proteins in the PDB. Therefore, we construct a repository of protein secondary sub-structures to accelerate convergence of the algorithm. The secondary structure of designed sequences by GAPSSIF is comparable with those obtained by Evolver and EvoDesign. Although we do not explicitly consider tertiary structure features through the algorithm, the structural similarity of native and designed sequences declares acceptable values.Using the evolutionary information of native structures can significantly improve the quality of designed sequences. In fact, the combination of this information and effective features such as solvent accessibility and torsion angles leads IPF problem to an efficient solution. GAPSSIF can be downloaded at http://bioinformatics.aut.ac.ir/GAPSSIF/ .

SUBMITTER: Movahedi M

PROVIDER: S-EPMC5011913 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Evaluating the accuracy of protein design using native secondary sub-structures.

Movahedi Marziyeh M Zare-Mirakabad Fatemeh F Arab Seyed Shahriar SS

BMC bioinformatics 20160905 1

<h4>Background</h4>According to structure-dependent function of proteins, two main challenging problems called Protein Structure Prediction (PSP) and Inverse Protein Folding (IPF) are investigated. In spite of IPF essential applications, it has not been investigated as much as PSP problem. In fact, the ultimate goal of IPF problem or protein design is to create proteins with enhanced properties or even novel functions. One of the major computational challenges in protein design is its large sequ ...[more]

PMID: 27597167

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Project description:Peptide mimics that display amino acid side-chains on semi-rigid scaffolds (not peptide polyamides) can be referred to as minimalist mimics. Accessible conformations of these scaffolds may overlay with secondary structures giving, for example, "minimalist helical mimics". It is difficult for researchers who want to apply minimalist mimics to decide which one to use because there is no widely accepted protocol for calibrating how closely these compounds mimic secondary structures. Moreover, it is also difficult for potential practitioners to evaluate which ideal minimalist helical mimics are preferred for a particular set of side-chains. For instance, what mimic presents i, i + 4, i + 7 side-chains in orientations that best resemble an ideal ?-helix, and is a different mimic required for a i, i + 3, i + 7 helical combination? This article describes a protocol for fitting each member of an array of accessible scaffold conformations on secondary structures. The protocol involves: (i) use quenched molecular dynamics (QMD) to generate an ensemble consisting of hundreds of accessible, low energy conformers of the mimics; (ii) representation of each of these as a set of C? and C? coordinates corresponding to three amino acid side-chains displayed by the scaffolds; (iii) similar representation of each combination of three side-chains in each ideal secondary structure as a set of C? and C? coordinates corresponding to three amino acid side-chains displayed by the scaffolds; and, (iv) overlay C? and C? coordinates of all the conformers on all the sets of side-chain "triads" in the ideal secondary structures and express the goodness of fit in terms of root mean squared deviation (RMSD, Å) for each overlay. We refer to this process as Exploring Key Orientations on Secondary structures (EKOS). Application of this procedure reveals the relative bias of a scaffold to overlay on different secondary structures, the "side-chain correspondences" (e.g. i, i + 4, i + 7 or i, i + 3, i + 4) of those overlays, and the energy of this state relative to the minimum located. This protocol was tested on some of the most widely cited minimalist ?-helical mimics (1-8 in the text). The data obtained indicates several of these compounds preferentially exist in conformations that resemble other secondary structures as well as ?-helices, and many of the ?-helical conformations have unexpected side-chain correspondences. These observations imply the featured minimalist mimics have more scope for disrupting PPI interfaces than previously anticipated. Finally, the same simulation method was used to match preferred conformations of minimalist mimics with actual protein/peptide structures at interfaces providing quantitative comparisons of predicted fits of the test mimics at protein-protein interaction sites.

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Evaluating the accuracy of protein design using native secondary sub-structures.

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Evaluating the accuracy of protein design using native secondary sub-structures.

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