Modeling the impact of point mutations on the stability of proteins

2020 ◽  
Vol 18 (04) ◽  
pp. 2050019
Author(s):  
K. G. Kulikov ◽  
T. V. Koshlan
Keyword(s):  
Protein Interactions ◽  
Protein Complexes ◽  
Three Dimensional ◽  
Point Mutations ◽  
Dimensional Structure ◽  
Amino Acid Residues ◽  
Three Dimensional Structure ◽  
The Stability ◽  
The Impact ◽  
Proven Theorem

A new method has been introduced which allows us to determine the stability of protein complexes with point changes of amino acid residues that also take into account the three-dimensional structure of the complex. This formulated and proven theorem is aimed at determining the criterion for the stability of protein molecules. The algorithm and software package were developed for analyzing protein interactions, taking into account their three-dimensional structure from the PDB database.

scholarly journals Inferring interaction partners from protein sequences using mutual information

2018 ◽  
Author(s):  
Anne-Florence Bitbol
Keyword(s):  
Mutual Information ◽  
Protein Interactions ◽  
Sequence Data ◽  
Protein Complexes ◽  
Three Dimensional ◽  
Specific Protein ◽  
Amino Acid Residues ◽  
Protein Protein Interactions ◽  
Cellular Processes ◽  
Interaction Partners

AbstractSpecific protein-protein interactions are crucial in most cellular processes. They enable multiprotein complexes to assemble and to remain stable, and they allow signal transduction in various pathways. Functional interactions between proteins result in coevolution between the interacting partners, and thus in correlations between their sequences. Pairwise maximum-entropy based models have enabled successful inference of pairs of amino-acid residues that are in contact in the three-dimensional structure of multi-protein complexes, starting from the correlations in the sequence data of known interaction partners. Recently, algorithms inspired by these methods have been developed to identify which proteins are specific interaction partners among the paralogous proteins of two families, starting from sequence data alone. Here, we demonstrate that a slightly higher performance for partner identification can be reached by an approximate maximization of the mutual information between the sequence alignments of the two protein families. This stands in contrast with structure prediction of proteins and of multiprotein complexes from sequence data, where pairwise maximum-entropy based global statistical models substantially improve performance compared to mutual information. Our findings entail that the statistical dependences allowing interaction partner prediction from sequence data are not restricted to the residue pairs that are in direct contact at the interface between the partner proteins.Author summarySpecific protein-protein interactions are at the heart of most intra-cellular processes. Mapping these interactions is thus crucial to a systems-level understanding of cells, and has broad applications to areas such as drug targeting. Systematic experimental identification of protein interaction partners is still challenging. However, a large and rapidly growing amount of sequence data is now available. Recently, algorithms have been proposed to identify which proteins interact from their sequences alone, thanks to the co-variation of the sequences of interacting proteins. These algorithms build upon inference methods that have been used with success to predict the three-dimensional structures of proteins and multi-protein complexes, and their focus is on the amino-acid residues that are in direct contact. Here, we propose a simpler method to identify which proteins interact among the paralogous proteins of two families, starting from their sequences alone. Our method relies on an approximate maximization of mutual information between the sequences of the two families, without specifically emphasizing the contacting residue pairs. We demonstrate that this method slightly outperforms the earlier one. This result highlights that partner prediction does not only rely on the identities and interactions of directly contacting amino-acids.

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 Two Pathogenic Gene Mutations Identified Associating with Congenital Cataract and Iris Coloboma Respectively in a Chinese Family

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Bin Li ◽  
Bin Lu ◽  
Xuewen Guo ◽  
Shenghui Hu ◽  
Guihu Zhao ◽  
...  
Keyword(s):  
Congenital Cataract ◽  
Three Dimensional ◽  
Gene Mutations ◽  
Dimensional Structure ◽  
Chinese Family ◽  
Control Group ◽  
Three Dimensional Structure ◽  
Han Ethnicity ◽  
The Family ◽  
The Impact

Purpose. To screen out pathogenic genes in a Chinese family with congenital cataract and iris coloboma. Material and Methods. A three-generation family with congenital cataract and iris coloboma from a Han ethnicity was recruited. DNA was extracted from peripheral blood samples collected from all individuals in the family. Whole exon sequencing was employed for screening the disease-causing gene mutations in the proband, and Sanger sequencing was used for other members of the family and a control group of 500 healthy individuals. Bioinformatics analysis and three-dimensional structure predictions were used to predict the impact of amino acid changes on protein structure and function. Results. The candidate genes of cataract and iris coloboma were successfully screened out. A heterozygote mutation, CRYGD c.70C>A (p.P24T), was identified as cosegregating with congenital cataracts, while another heterozygous mutation, WFS1 c.1514G>C (p.C505S), which had not been reported previously, cosegregated with congenital iris coloboma. Bioinformatic analyses and three-dimensional structure prediction proved that the three-dimensional structures of WFS1 p.C505S and CRYGD p.P24T changed markedly and may contribute significantly to iris coloboma and congenital cataract, respectively. Conclusions. We report a novel mutation, WFS1 p.C505S, and a known mutation, CRYGD p.P24T, that cosegregate with iris coloboma and congenital cataract, respectively, in a Chinese family. This is the first time the association of WFS1 p.C505S with iris coloboma has been demonstrated, although CRYGD p.P24T has been widely reported as being associated with congenital cataract, especially in the Eastern Asian population. These findings may have future therapeutic benefit for the diagnosis of iris coloboma and congenital cataract. The results may also be relevant in further studies aiming to investigate the molecular pathogenesis of iris coloboma and congenital cataract.

scholarly journals Structure elucidation and docking analysis of 5M mutant of T1 lipase Geobacillus zalihae

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251751
Author(s):  
Siti Nor Hasmah Ishak ◽  
Nor Hafizah Ahmad Kamarudin ◽  
Mohd Shukuri Mohamad Ali ◽  
Adam Thean Chor Leow ◽  
Fairolniza Mohd Shariff ◽  
...  
Keyword(s):  
Amino Acids ◽  
Hydrogen Bonds ◽  
Three Dimensional ◽  
Substrate Preference ◽  
Dynamics Simulation ◽  
Dimensional Structure ◽  
Docking Analysis ◽  
Three Dimensional Structure ◽  
Ion Interactions ◽  
The Stability

5M mutant lipase was derived through cumulative mutagenesis of amino acid residues (D43E/T118N/E226D/E250L/N304E) of T1 lipase from Geobacillus zalihae. A previous study revealed that cumulative mutations in 5M mutant lipase resulted in decreased thermostability compared to wild-type T1 lipase. Multiple amino acids substitution might cause structural destabilization due to negative cooperation. Hence, the three-dimensional structure of 5M mutant lipase was elucidated to determine the evolution in structural elements caused by amino acids substitution. A suitable crystal for X-ray diffraction was obtained from an optimized formulation containing 0.5 M sodium cacodylate trihydrate, 0.4 M sodium citrate tribasic pH 6.4 and 0.2 M sodium chloride with 2.5 mg/mL protein concentration. The three-dimensional structure of 5M mutant lipase was solved at 2.64 Å with two molecules per asymmetric unit. The detailed analysis of the structure revealed that there was a decrease in the number of molecular interactions, including hydrogen bonds and ion interactions, which are important in maintaining the stability of lipase. This study facilitates understanding of and highlights the importance of hydrogen bonds and ion interactions towards protein stability. Substrate specificity and docking analysis on the open structure of 5M mutant lipase revealed changes in substrate preference. The molecular dynamics simulation of 5M-substrates complexes validated the substrate preference of 5M lipase towards long-chain p-nitrophenyl–esters.

scholarly journals Novel biological implication of a strictly monomorphic GCC repeat in the human PRKACB gene

2021 ◽  
Author(s):  
Safoura Khamse ◽  
Zahra Jafarian ◽  
Ali Bozorgmehr ◽  
Mostafa Tavakoli ◽  
Hossein Afshar Iranian ◽  
...  
Keyword(s):  
Late Onset ◽  
Human Subjects ◽  
Three Dimensional ◽  
Dna Structure ◽  
Dimensional Structure ◽  
Protein Coding ◽  
Three Dimensional Structure ◽  
Significant Divergence ◽  
The Impact ◽  
The Brain

Abstract Across human protein-coding genes, PRKACB (Protein Kinase CAMP-Activated Catalytic Subunit Beta) contains one of the longest GCC-repeats, and is predominantly expressed in the brain. Here we studied this STR in 300 human subjects, consisting of late-onset neurocognitive disorder (NCD) (N = 150) and controls (N = 150). We also studied the impact of this STR on the three-dimensional structure of DNA. While the PRKACB GCC-STR was strictly monomorphic at 7-repeats, we detected two 7/8 genotypes only in the NCD group. In comparison to all other lengths, (GCC)7 had the least effect on the three-dimensional structure of DNA, evidenced by minimal divergence between 0 and 7-repeats (divergence score = 0.04) and significant divergence between 0 and 8 repeats (divergence score = 0.50). A similar inert effect to the GCC-repeat was not detected in other classes of STRs such as GA and CA repeats. In conclusion, we report monomorphism of an exceptionally long GCC repeat in the PRKACB gene in human, its inert effect on DNA structure, and divergence in two cases of late-onset NCD. This is the first indication of natural selection for an exceptionally long monomorphic GCC-repeat, which probably evolved to function as an “epigenetic knob”, without changing the regional DNA structure.

Sign in / Sign up

Export Citation Format

Share Document