scholarly journals Side-Chain Conformational Preferences Govern Protein–Protein Interactions

2016 ◽  
Vol 138 (33) ◽  
pp. 10386-10389 ◽  
Author(s):  
Andrew M. Watkins ◽  
Richard Bonneau ◽  
Paramjit S. Arora
Keyword(s):  
Protein Interactions ◽  
Side Chain ◽  
Protein Protein Interactions ◽  
Conformational Preferences

NMR spectroscopy in the conformational analysis of peptides: an overview

2020 ◽  
Vol 27 ◽  
Author(s):  
Marian Vincenzi ◽  
Flavia Anna Mercurio ◽  
Marilisa Leone
Keyword(s):  
Nmr Spectroscopy ◽  
Protein Interactions ◽  
3D Structure ◽  
Theoretical Background ◽  
Triple Resonance ◽  
Protein Protein Interactions ◽  
Nmr Studies ◽  
Conformational Preferences ◽  
Dynamic Perspective ◽  
Nmr Methods

Background: NMR spectroscopy is one of the most powerful tools to study the structure and interaction properties of peptides and proteins from a dynamic perspective. Knowing the bioactive conformations of peptides is crucial in the drug discovery field to design more efficient analogue ligands and inhibitors of protein-protein interactions targeting therapeutically relevant systems. Objective: This review provides a toolkit to investigate peptide conformational properties by NMR. Methods: Articles cited herein, related to NMR studies of peptides and proteins were mainly searched through Pubmed and the web. More recent and old books on NMR spectroscopy written by eminent scientists in the field were consulted as well. Results: The review is mainly focused on NMR tools to gain the 3D structure of small unlabeled peptides. It is more application-oriented as it is beyond its goal to deliver a profound theoretical background. However, the basic principles of 2D homonuclear and heteronuclear experiments are briefly described. Protocols to obtain isotopically labeled peptides and principal triple resonance experiments needed to study them, are discussed as well. Conclusion: NMR is a leading technique in the study of conformational preferences of small flexible peptides whose structure can be often only described by an ensemble of conformations. Although NMR studies of peptides can be easily and fast performed by canonical protocols established a few decades ago, more recently we have assisted to tremendous improvements of NMR spectroscopy to investigate instead large systems and overcome its molecular weight limit.

scholarly journals Evolutionary couplings detect side-chain interactions

2018 ◽  
Author(s):  
Adam J. Hockenberry ◽  
Claus O. Wilke
Keyword(s):  
Protein Interactions ◽  
De Novo ◽  
Protein Structures ◽  
Side Chain ◽  
Protein Protein Interactions ◽  
Sequence Alignments ◽  
Practical Applications ◽  
Residue Contacts ◽  
Coupling Algorithms ◽  
Evolutionary Coupling

Patterns of amino acid covariation in large protein sequence alignments can inform the prediction of de novo protein structures, binding interfaces, and mutational effects. While algorithms that detect these so-called evolutionary couplings between residues have proven useful for practical applications, less is known about how and why these methods perform so well, and what insights into biological processes can be gained from their application. Evolutionary coupling algorithms are commonly benchmarked by comparison to true structural contacts derived from solved protein structures. However, the methods used to determine true structural contacts are not standardized and different definitions of structural contacts may have important consequences for interpreting the results from evolutionary coupling analyses and understanding their overall utility. Here, we show that evolutionary coupling analyses are significantly more likely to identify structural contacts between side-chain atoms than between backbone atoms. We use both simulations and empirical analyses to highlight that purely backbone-based definitions of true residue–residue contacts (i.e., based on the distance between Cα atoms) may underestimate the accuracy of evolutionary coupling algorithms by as much as 40% and that a commonly used reference point (Cβ atoms) underestimates the accuracy by 10–15%. These findings show that co-evolutionary outcomes differ according to which atoms participate in residue–residue interactions and suggest that accounting for different interaction types may lead to further improvements to contact-prediction methods.Significance StatementEvolutionary couplings between residues within a protein can provide valuable information about protein structures, protein-protein interactions, and the mutability of individual residues. However, the mechanistic factors that determine whether two residues will co-evolve remains unknown. We show that structural proximity by itself is not sufficient for co-evolution to occur between residues. Rather, evolutionary couplings between residues are specifically governed by interactions between side-chain atoms. By contrast, intramolecular contacts between atoms in the protein backbone display only a weak signature of evolutionary coupling. These findings highlight that different types of stabilizing contacts exist within protein structures and that these types have a differential impact on the evolution of protein structures that should be considered in co-evolutionary applications.

scholarly journals Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions

2019 ◽  
Vol 47 (W1) ◽  
pp. W331-W337 ◽  
Author(s):  
Ankit A Roy ◽  
Abhilesh S Dhawanjewar ◽  
Parichit Sharma ◽  
Gulzar Singh ◽  
M S Madhusudhan
Keyword(s):  
Protein Interactions ◽  
Protein Complexes ◽  
Three Dimensional ◽  
Optimal Number ◽  
Dimensional Structure ◽  
Side Chain ◽  
Interface Residue ◽  
Z Score ◽  
Protein Protein Interactions ◽  
Residue Contacts

Abstract Our web server, PIZSA (http://cospi.iiserpune.ac.in/pizsa), assesses the likelihood of protein–protein interactions by assigning a Z Score computed from interface residue contacts. Our score takes into account the optimal number of atoms that mediate the interaction between pairs of residues and whether these contacts emanate from the main chain or side chain. We tested the score on 174 native interactions for which 100 decoys each were constructed using ZDOCK. The native structure scored better than any of the decoys in 146 cases and was able to rank within the 95th percentile in 162 cases. This easily outperforms a competing method, CIPS. We also benchmarked our scoring scheme on 15 targets from the CAPRI dataset and found that our method had results comparable to that of CIPS. Further, our method is able to analyse higher order protein complexes without the need to explicitly identify chains as receptors or ligands. The PIZSA server is easy to use and could be used to score any input three-dimensional structure and provide a residue pair-wise break up of the results. Attractively, our server offers a platform for users to upload their own potentials and could serve as an ideal testing ground for this class of scoring schemes.

scholarly journals High-resolution structures of a heterochiral coiled coil

2015 ◽  
Vol 112 (43) ◽  
pp. 13144-13149 ◽  
Author(s):  
David E. Mortenson ◽  
Jay D. Steinkruger ◽  
Dale F. Kreitler ◽  
Dominic V. Perroni ◽  
Gregory P. Sorenson ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Structural Information ◽  
Coiled Coil ◽  
Coiled Coils ◽  
Side Chain ◽  
Amino Acid Residues ◽  
Protein Protein Interactions ◽  
Polypeptide Chains ◽  
Packing Interactions

Interactions between polypeptide chains containing amino acid residues with opposite absolute configurations have long been a source of interest and speculation, but there is very little structural information for such heterochiral associations. The need to address this lacuna has grown in recent years because of increasing interest in the use of peptides generated from d amino acids (d peptides) as specific ligands for natural proteins, e.g., to inhibit deleterious protein–protein interactions. Coiled–coil interactions, between or among α-helices, represent the most common tertiary and quaternary packing motif in proteins. Heterochiral coiled–coil interactions were predicted over 50 years ago by Crick, and limited experimental data obtained in solution suggest that such interactions can indeed occur. To address the dearth of atomic-level structural characterization of heterochiral helix pairings, we report two independent crystal structures that elucidate coiled-coil packing between l- and d-peptide helices. Both structures resulted from racemic crystallization of a peptide corresponding to the transmembrane segment of the influenza M2 protein. Networks of canonical knobs-into-holes side-chain packing interactions are observed at each helical interface. However, the underlying patterns for these heterochiral coiled coils seem to deviate from the heptad sequence repeat that is characteristic of most homochiral analogs, with an apparent preference for a hendecad repeat pattern.

The C29–C34 parts of antitumor macrolide aplyronine A serve as versatile actin-affinity tags

2021 ◽  
Author(s):  
Didik Huswo Utomo ◽  
Akari Fujieda ◽  
Kentaro Tanaka ◽  
Momoko Takahashi ◽  
Kentaro Futaki ◽  
...  
Keyword(s):  
Natural Products ◽  
Drug Development ◽  
Anticancer Drug ◽  
Protein Interactions ◽  
Side Chain ◽  
Protein Protein Interactions ◽  
Affinity Tags ◽  
Promising Strategy ◽  
Anticancer Drug Development ◽  
Aplyronine A

Anticancer drug development inspired by natural products based on protein–protein interactions (PPI) is a promising strategy. We developed structurally-simplified C29–C34 side-chain analogs of aplyronine A (ApA), an antitumor marine macrolide....

α-Helix mimetics as inhibitors of protein–protein interactions

2008 ◽  
Vol 36 (6) ◽  
pp. 1414-1417 ◽  
Author(s):  
Ishu Saraogi ◽  
Andrew D. Hamilton
Keyword(s):  
Protein Interactions ◽  
First Generation ◽  
Side Chain ◽  
Protein Protein Interactions ◽  
Substitution Pattern ◽  
Pathological Conditions ◽  
Synthetic Accessibility ◽  
Helix Mimetics ◽  
Viable Approach ◽  
Α Helix

The inhibition of protein–protein interactions using small molecules is a viable approach for the treatment of a range of pathological conditions that result from a malfunctioning of these interactions. Our strategy for the design of such agents involves the mimicry of side-chain residues on one face of the α-helix; these residues frequently play a key role in mediating protein–protein interactions. The first-generation terphenyl scaffold, with a 3,2′,2″-substitution pattern, is able to successfully mimic key helix residues and disrupt therapeutically relevant interactions, including the Bcl-XL–Bak and the p53–hDM2 (human double minute 2) interactions that are implicated in cancer. The second- and third-generation scaffolds have resulted in greater synthetic accessibility and more drug-like character in these molecules.

scholarly journals Flex ddG: Rosetta ensemble-based estimation of changes in protein-protein binding affinity upon mutation

2017 ◽  
Author(s):  
Kyle A. Barlow ◽  
Shane O Conchúir ◽  
Samuel Thompson ◽  
Pooja Suresh ◽  
James E. Lucas ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Energy Function ◽  
Large Scale ◽  
Additive Model ◽  
Conformational Space ◽  
Side Chain ◽  
Free Energies ◽  
Protein Protein Interactions ◽  
Conformational Plasticity ◽  
Macromolecular Modeling

AbstractComputationally modeling changes in binding free energies upon mutation (interface ΔΔG) allows large-scale prediction and perturbation of protein-protein interactions. Additionally, methods that consider and sample relevant conformational plasticity should be able to achieve higher prediction accuracy over methods that do not. To test this hypothesis, we developed a method within the Rosetta macromolecular modeling suite (flex ddG) that samples conformational diversity using “backrub” to generate an ensemble of models, then applying torsion minimization, side chain repacking and averaging across this ensemble to estimate interface ΔΔG values. We tested our method on a curated benchmark set of 1240 mutants, and found the method outperformed existing methods that sampled conformational space to a lesser degree. We observed considerable improvements with flex ddG over existing methods on the subset of small side chain to large side chain mutations, as well as for multiple simultaneous non-alanine mutations, stabilizing mutations, and mutations in antibody-antigen interfaces. Finally, we applied a generalized additive model (GAM) approach to the Rosetta energy function; the resulting non-linear reweighting model improved agreement with experimentally determined interface DDG values, but also highlights the necessity of future energy function improvements.

scholarly journals α-Helix stabilization by co-operative side chain charge-reinforced interactions to phosphoserine in a basic kinase-substrate motif

2021 ◽  
Author(s):  
Matthew Batchelor ◽  
Robert S Dawber ◽  
Andrew J Wilson ◽  
Richard Bayliss
Keyword(s):  
Protein Interactions ◽  
Molecular Mechanisms ◽  
Side Chain ◽  
Protein Protein Interactions ◽  
Cellular Functions ◽  
Kinase Substrate ◽  
Human Proteins ◽  
Recognition Motifs ◽  
Α Helix ◽  
General Method

How cellular functions are regulated through protein phosphorylation events that promote or inhibit protein-protein interactions (PPIs) is key to understanding regulatory molecular mechanisms. Whilst phosphorylation can orthosterically or allosterically influence protein recognition, phospho-driven changes in the conformation of recognition motifs are less well explored. We recently discovered that clathrin heavy chain recognises phosphorylated TACC3 through a helical motif that, in the unphosphorylated protein, is disordered. However, it was unclear whether and how phosphorylation could stabilize a helix in a broader context. In the current manuscript, we address this challenge using poly-Ala based model peptides and a suite of circular dichroism and nuclear magnetic resonance spectroscopies. We show that phosphorylation of a Ser residue stabilizes the α-helix in the context of an Arg(i - 3)pSeri Lys(i + 4) triad through charge-reinforced side chain interactions with positive co-operativity, whilst phosphorylation of Thr induces an opposing response. This is significant as it may represent a general method for control of PPIs by phosphorylation; basic kinase-substrate motifs are common with 55 human protein kinases recognising an Arg at a position -3 from the phosphorylated Ser, whilst the Arg(i - 3)pSeri Lys(i + 4) is a motif found in over 2000 human proteins.

Using halo (het) arylboronic species to achieve synthesis of foldamers as protein–protein interaction disruptors

2012 ◽  
Vol 84 (11) ◽  
pp. 2467-2478 ◽  
Author(s):  
Anne Sophie Voisin-Chiret ◽  
Sylvain Rault
Keyword(s):  
Protein Interactions ◽  
Cell Biology ◽  
First Generation ◽  
In Silico Analysis ◽  
Side Chain ◽  
Protein Protein Interactions ◽  
Protein Protein Interaction ◽  
Common Motif ◽  
Difficult Procedure ◽  
Α Helix

Protein–protein interactions (PPIs) play a central role in all biological processes and have been the focus of intense investigations from structural molecular biology to cell biology for the majority of the last two decades and, more recently, are emerging as important targets for pharmaceuticals. A common motif found at the interface of PPIs is the α-helix, and apart from the peptidic structures, numerous nonpeptidic small molecules have been developed to mimic α-helices. The first-generation terphenyl scaffold is able to successfully mimic key helix residues and disrupt relevant interactions, including Bcl-xL-Bak interactions that are implicated in apoptosis mechanism. These scaffolds were designed and evaluated in silico. Analysis revealed that substituents on aromatic scaffolds can efficiently mimic side-chain surfaces. Unfortunately, the literature describes a long and difficult procedure to access these aromatic-based scaffolds. The search for new simpler methodology is the aim of the research of our medicinal chemistry team. On the basis of structural requirements, we developed a program concerning the synthesis of new oligo(het)aryl scaffolds produced by iterative couplings of boronic species (garlanding) in which substituents on rings project functionality in spatial orientations that mimic residues of an α-helix.

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