scholarly journals In Silico Analysis Predicting Effects of Deleterious SNPs of Human RASSF5 Gene on its Structure and Functions

2020 ◽  
Author(s):  
Md. Shahadat Hossain ◽  
Arpita Singha Roy ◽  
Md. Sajedul Islam
Keyword(s):  
Protein Interactions ◽  
In Silico ◽  
Structural Changes ◽  
Interaction Analysis ◽  
In Silico Analysis ◽  
Therapeutic Interventions ◽  
Protein Protein Interactions ◽  
Post Translational Modification ◽  
Protein Protein Interaction ◽  
The Stability

AbstractRas association domain-containing protein 5 (RASSF5), one of the prospective biomarkers for tumors, generally plays a crucial role as a tumor suppressor. As deleterious effects can result from functional differences through SNPs, we sought to analyze the most deleterious SNPs of RASSF5 as well as predict the structural changes associated with the mutants that hamper the normal protein-protein interactions. We adopted both sequence and structure based approaches to analyze the SNPs of RASSF5 protein. We also analyzed the putative post translational modification sites as well as the altered protein-protein interactions that encompass various cascades of signals. Out of all the SNPs obtained from the NCBI database, only 25 were considered as highly deleterious by six in silico SNP prediction tools. Among them, upon analyzing the effect of these nsSNPs on the stability of the protein, we found 17 SNPs that decrease the stability. Significant deviation in the energy minimization score was observed in P350R, F321L, and R277W. Besides this, docking analysis confirmed that P350R, A319V, F321L, and R277W reduce the binding affinity of the protein with H-Ras, where P350R shows the most remarkable deviation. Protein-protein interaction analysis revealed that RASSF5 acts as a hub connecting two clusters consisting of 18 proteins and alteration in the RASSF5 may lead to disassociation of several signal cascades. Thus, based on these analyses, our study suggests that the reported functional SNPs may serve as potential targets for different proteomic studies, diagnosis and therapeutic interventions.

In-Silico Analysis to Identify Potential Inhibitors Against the Protein NSP12 of SARS-CoV-2

2021 ◽  
Vol 6 (3) ◽  
pp. 48-60
Author(s):  
Hima Vyshnavi ◽  
Gayathri S. S. ◽  
Shahanas Naisam ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar
Keyword(s):  
In Silico ◽  
Interaction Analysis ◽  
In Silico Analysis ◽  
Drug Efficacy ◽  
Drug Candidate ◽  
In Vivo Analysis ◽  
The Stability ◽  
Potential Inhibitors ◽  
Silico Analysis

In this pandemic condition, a drug candidate which is effective against COVID-19 is very much desired. This study initiates an in silico analysis to screen small molecules such as phytochemicals, drug metabolites, and natural metabolites against Nsp12 (a catalytic unit for RNA transcription and replication). Molecular interaction analysis of 6M71 was carried out against 2,860 ligands using Schrodinger Glide software. After docking analysis, the top 10 molecules (Glide score) were subjected to MD simulation for validating the stability. It resulted in top 10 compounds with high binding affinities with the target molecule NSP 12. Out of these, top 3 compounds including PSID_08_LIG3 (HMDB0133544), PSID_08_LIG4 (HMDB0132898), and PSID_08_LIG9 (HMDB0128199) show better Glide scores, better H-bond interaction, better MMGBSA value and stability on dynamic simulation after analysis of the results. The suggested ligands can be postulated as effective antiviral drugs against COVID-19. Further in vivo analysis is needed for validating the drug efficacy.

scholarly journals In silico analysis of protein-protein interfaces: Tools and approaches

2020 ◽  
Vol 11 (4) ◽  
pp. 7539-7548
Author(s):  
Christina Nilofer ◽  
Arumugam Mohanapriya
Keyword(s):  
Protein Interaction ◽  
Protein Interactions ◽  
In Silico Analysis ◽  
Physicochemical Characteristics ◽  
Structural Features ◽  
Interface Residue ◽  
Protein Protein Interactions ◽  
Protein Protein Interaction ◽  
Molecular Functions

Two or more proteins interact in vivo to perform complex molecular functions including catalysis, regulation, assembly, immunity and inhibition through the formation of stable interfaces. This interaction is governed by several factors that are selective, sensitive and specific in nature. Several interface features has been documented since 1975. The study of these interface features of proteins and their dynamicity during interaction with different proteins help understanding the mechanisms underlying diverse molecular functions and its biological processes. Computational tools greatly assist in studying such interface features that determine the interaction between two or more proteins, and in this context, this review enumerates the different interface features reported thus far along with the tools that aid in deciphering protein features (physicochemical characteristics, binding site and interface residue prediction and hotspot residues) along with their approaches that are employed in the prediction these features. Also, the review discusses the advantages and limitations of experimental techniques and computational biological tools deployed for deciphering the protein-protein interactions. Altogether, the review will provide insights into the optimal tools and different strategies involved in protein interaction studies that would facilitate the researchers to understand the protein structural features and molecular principles of protein-protein interaction with known functions.

scholarly journals The Dawn of Mitophagy: What Do We Know by Now?

2020 ◽  
Vol 19 (2) ◽  
pp. 170-192
Author(s):  
Dmitrii M. Belousov ◽  
Elizaveta V. Mikhaylenko ◽  
Siva G. Somasundaram ◽  
Cecil E. Kirkland ◽  
Gjumrakch Aliev
Keyword(s):  
Protein Interactions ◽  
Mammalian Target Of Rapamycin ◽  
Mitochondrial Damage ◽  
Protein Protein Interactions ◽  
Post Translational Modification ◽  
Mitochondrial Depolarization ◽  
Cell Protection ◽  
Antioxidant Genes ◽  
Protein Protein Interaction ◽  
Research Findings

Mitochondria are essential organelles for healthy eukaryotic cells. They produce energyrich phosphate bond molecules (ATP) through oxidative phosphorylation using ionic gradients. The presence of mitophagy pathways in healthy cells enhances cell protection during mitochondrial damage. The PTEN-induced putative kinase 1 (PINK1)/Parkin-dependent pathway is the most studied for mitophage. In addition, there are other mechanisms leading to mitophagy (FKBP8, NIX, BNIP3, FUNDC1, BCL2L13). Each of these provides tethering of a mitochondrion to an autophagy apparatus via the interaction between receptor proteins (Optineurin, p62, NDP52, NBR1) or the proteins of the outer mitochondrial membrane with ATG9-like proteins (LC3A, LC3B, GABARAP, GABARAPL1, GATE16). Another pathogenesis of mitochondrial damage is mitochondrial depolarization. Reactive oxygen species (ROS) antioxidant responsive elements (AREs) along with antioxidant genes, including pro-autophagic genes, are all involved in mitochondrial depolarization. On the other hand, mammalian Target of Rapamycin Complex 1 (mTORC1) and AMP-dependent kinase (AMPK) are the major regulatory factors modulating mitophagy at the post-translational level. Protein-protein interactions are involved in controlling other mitophagy processes. The objective of the present review is to analyze research findings regarding the main pathways of mitophagy induction, recruitment of the autophagy machinery, and their regulations at the levels of transcription, post-translational modification and protein-protein interaction that appeared to be the main target during the development and maturation of neurodegenerative disorders.

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.

Abstract 489: Identification And In-silico Analysis Of Pathogenic Non-synonymous Snps Of Human Sos1 Protein In Noonan Syndrome

2020 ◽  
Vol 127 (Suppl_1) ◽  
Author(s):  
Vinoth Sigamani ◽  
SHEEJA RAJASINGH ◽  
Narasimman Gurusamy ◽  
Shivaani Kirankumar ◽  
Jayavardini Vasanthan ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Noonan Syndrome ◽  
In Silico ◽  
Genetic Disorder ◽  
In Silico Analysis ◽  
Nucleotide Polymorphisms ◽  
Post Translational Modification ◽  
Single Nucleotide ◽  
Skeletal Malformation ◽  
Structural And Functional Properties

Introduction: Noonan syndrome is a genetic disorder (autosomal dominant) characterized by short stature, congenital heart disease, bleeding problems, developmental delays, and skeletal malformation. It is mainly caused by a single nucleotide alteration in four genes PTPN11, SOS1, RAF1, and KRAS . In this study, we computationally analyzed the SOS1 gene to identify the pathogenic non-synonymous single nucleotide polymorphisms (nsSNPs), which is known to cause Noonan syndrome. Hypothesis: We hypothesize that in-silico analysis of human SOS1 mutations in Noonan syndrome would be a promising predictor to study the post-translational modifications. Methods and Results: The variant information of SOS1 was collected from the dbSNP database and the literature review on Noonan syndrome. They were further analyzed by in-silico tools such as I-Mutant, iPTREE-STAB, and MutPred for their structural and functional properties. We found that 11 nsSNPs are more pathogenic for Noonan syndrome. The 3D comparative protein of 11 nsSNPs with its wild-type SOS1 was modeled by using I-Tasser and validated via ERRAT and RAMPAGE. The protein-protein interactions of SOS1, GATA4, TNNT2, and ACTN2 were analyzed using STRING, which showed that HRAS was intermediate between SOS1 and ACTN2 (Fig. 1) . Conclusion: This is the first in-silico study of the SOS1 variant with Noonan syndrome. We proposed that this 11 nsSNPs are the most pathogenic variant of SOS1 , which helps to screen the Noonan patient. Furthermore, our results are promising to study the gain/loss of post-translational modification (PTM) by mutation in cardiac genes and helps to explore the novel molecular pathways.$graphic_{DB5B0E7D-4DA6-4569-A16F-E05B2C9C4D2F}$$

scholarly journals Sulfotyrosine, an interaction specificity determinant for extracellular protein-protein interactions

2021 ◽  
Author(s):  
Valley Stewart ◽  
Pamela C. Ronald
Keyword(s):  
Protein Interactions ◽  
Chemokine Receptors ◽  
Protein Protein Interactions ◽  
Post Translational Modification ◽  
Protein Protein Interaction ◽  
Coreceptor Binding ◽  
Receptor Interactions ◽  
Technical Advances ◽  
Affinity Peptide ◽  
Hiv 1

Tyrosine sulfation, a post-translational modification, can enhance and often determine protein-protein interaction specificity. Sulfotyrosyl residues (sTyr) are formed by tyrosyl-protein sulfotransferases (TPSTs) during maturation of certain secreted proteins. Here we consider three contexts for sTyr function. First, a single sTyr residue is critical for high-affinity peptide-receptor interactions in plant peptide hormones and animal receptors for glycopeptide hormones. Second, structurally flexible anionic segments often contain a cluster of two or three sTyr residues within a six-residue span. These sTyr residues are essential for coreceptor binding of the HIV-1 envelope spike protein during virus entry and for chemokine interactions with many chemokine receptors. Third, several proteins that interact with thrombin, central to normal blood-clotting, require the presence of sTyr residues in the context of acidic sequences termed hirudin-like motifs. Consequently, many proven and potential therapeutic proteins derived from blood-consuming invertebrates depend on sTyr residues for their activity. Technical advances in generating and documenting site-specific sTyr substitutions facilitate discovery and analysis, and promise to enable engineering of defined interaction determinants.

scholarly journals Towards optimizing peptide-based inhibitors of protein–protein interactions: predictive saturation variation scanning (PreSaVS)

2021 ◽  
Author(s):  
Kristina Hetherington ◽  
Som Dutt ◽  
Amaurys A. Ibarra ◽  
Emma E. Cawood ◽  
Fruzsina Hobor ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Interactions ◽  
In Silico ◽  
Protein Protein Interactions ◽  
Protein Protein Interaction

An experimentally validated approach for in silico modification of peptide based protein–protein interaction inhibitors is described.

An efficient transient assays system using Agrobacterium-mediated transformation of onion (Allium cepa) epidermal cells

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Yu-Miao Zhang ◽  
Jun Wang ◽  
Tao Wu
Keyword(s):  
Subcellular Localization ◽  
Protein Interaction ◽  
Protein Interactions ◽  
Epidermal Cells ◽  
Cyclin Dependent Kinase ◽  
Protein Subcellular Localization ◽  
Protein Protein Interactions ◽  
Efficient System ◽  
Protein Protein Interaction ◽  
Onion Epidermal Cells

In this study, the Agrobacterium infection medium, infection duration, detergent, and cell density were optimized. The sorghum-based infection medium (SbIM), 10-20 min infection time, addition of 0.01% Silwet L-77, and Agrobacterium optical density at 600 nm (OD600), improved the competence of onion epidermal cells to support Agrobacterium infection at >90% efficiency. Cyclin-dependent kinase D-2 (CDKD-2) and cytochrome c-type biogenesis protein (CYCH), protein-protein interactions were localized. The optimized procedure is a quick and efficient system for examining protein subcellular localization and protein-protein interaction.

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