scholarly journals Scop3P: a comprehensive resource of human phosphosites within their full context

2019 ◽  
Author(s):  
Pathmanaban Ramasamy ◽  
Demet Turan ◽  
Natalia Tichshenko ◽  
Niels Hulstaert ◽  
Elien Vandermarliere ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Protein Sequence ◽  
Metabolic Disorders ◽  
Solvent Accessibility ◽  
Basic Site ◽  
Biological Processes ◽  
Post Translational Modification ◽  
Structure Mapping ◽  
Accurate Identification ◽  
Provenance Information

AbstractProtein phosphorylation is a key post-translational modification (PTM) in many biological processes and is associated to human diseases such as cancer and metabolic disorders. The accurate identification, annotation and functional analysis of phosphosites is therefore crucial to understand their various roles. Phosphosites (P-sites) are mainly analysed through phosphoproteomics, which has led to increasing amounts of publicly available phosphoproteomics data. Several resources have been built around the resulting phosphosite information, but these are usually restricted to protein sequence and basic site metadata. What is often missing from these resources, however, is context, including protein structure mapping, experimental provenance information, and biophysical predictions. We therefore developed Scop3P: a comprehensive database of human phosphosites within their full context. Scop3P integrates sequences (UniProtKB/Swiss-Prot), structures (PDB), and uniformly reprocessed phosphoproteomics data (PRIDE) to annotate all known human phosphosites. Furthermore, these sites are put into biophysical context by annotating each phosphoprotein with perresidue structural propensity, solvent accessibility, disordered probability, and early folding information. Scop3P, available at https://iomics.ugent.be/scop3p, presents a unique resource for visualization and analysis of phosphosites, and for understanding of phosphosite structure-function relationships.

Review of Progress in Predicting Protein Methylation Sites

2019 ◽  
Vol 23 (15) ◽  
pp. 1663-1670 ◽  
Author(s):  
Chunyan Ao ◽  
Shunshan Jin ◽  
Yuan Lin ◽  
Quan Zou
Keyword(s):  
Gene Expression ◽  
Signal Transduction ◽  
Transcriptional Activity ◽  
Regulation Of Gene Expression ◽  
Protein Methylation ◽  
Biological Processes ◽  
Post Translational Modification ◽  
Regulatory Enzymes ◽  
Lysine Residues ◽  
Arginine Residues

Protein methylation is an important and reversible post-translational modification that regulates many biological processes in cells. It occurs mainly on lysine and arginine residues and involves many important biological processes, including transcriptional activity, signal transduction, and the regulation of gene expression. Protein methylation and its regulatory enzymes are related to a variety of human diseases, so improved identification of methylation sites is useful for designing drugs for a variety of related diseases. In this review, we systematically summarize and analyze the tools used for the prediction of protein methylation sites on arginine and lysine residues over the last decade.

Prediction of Nitration Sites Based on FCBF Method and Stacking Ensemble Model

2021 ◽  
Vol 18 ◽  
Author(s):  
Min Liu ◽  
Lu Zhang ◽  
Xinyi Qin ◽  
Tao Huang ◽  
Ziwei Xu ◽  
...  
Keyword(s):  
Prediction Model ◽  
Protein Sequence ◽  
Cross Validation ◽  
Transplant Rejection ◽  
Sampling Technique ◽  
Single Type ◽  
Post Translational Modification ◽  
Tyrosine Residues ◽  
Under Sampling ◽  
Fusion Features

Background: Nitration is one of the important Post-Translational Modification (PTM) occurring on the tyrosine residues of proteins. The occurrence of protein tyrosine nitration under disease conditions is inevitable and represents a shift from the signal transducing physiological actions of -NO to oxidative and potentially pathogenic pathways. Abnormal protein nitration modification can lead to serious human diseases, including neurodegenerative diseases, acute respiratory distress, organ transplant rejection and lung cancer. Objective: It is necessary and important to identify the nitration sites in protein sequences. Predicting that which tyrosine residues in the protein sequence are nitrated and which are not is of great significance for the study of nitration mechanism and related diseases. Methods: In this study, a prediction model of nitration sites based on the over-under sampling strategy and the FCBF method was proposed by stacking ensemble learning and fusing multiple features. Firstly, the protein sequence sample was encoded by 2701-dimensional fusion features (PseAAC, PSSM, AAIndex, CKSAAP, Disorder). Secondly, the ranked feature set was generated by the FCBF method according to the symmetric uncertainty metric. Thirdly, in the process of model training, use the over- and under- sampling technique was used to tackle the imbalanced dataset. Finally, the Incremental Feature Selection (IFS) method was adopted to extract an optimal classifier based on 10-fold cross-validation. Results and Conclusion: Results show that the model has significant performance advantages in indicators such as MCC, Recall and F1-score, no matter in what way the comparison was conducted with other classifiers on the independent test set, or made by cross-validation with single-type feature or with fusion-features on the training set. By integrating the FCBF feature ranking methods, over- and under- sampling technique and a stacking model composed of multiple base classifiers, an effective prediction model for nitration PTM sites was build, which can achieve a better recall rate when the ratio of positive and negative samples is highly imbalanced.

scholarly journals Targeting the Ubiquitin Signaling Cascade in Tumor Microenvironment for Cancer Therapy

2021 ◽  
Vol 22 (2) ◽  
pp. 791
Author(s):  
Qi Liu ◽  
Bayonle Aminu ◽  
Olivia Roscow ◽  
Wei Zhang
Keyword(s):  
Tumor Microenvironment ◽  
Cancer Therapy ◽  
Therapeutic Agents ◽  
Biological Processes ◽  
Post Translational Modification ◽  
E3 Ligases ◽  
Tumor Microenvironments ◽  
Cellular Immune ◽  
Ubiquitin Conjugating Enzymes ◽  
Cellular Components

Tumor microenvironments are composed of a myriad of elements, both cellular (immune cells, cancer-associated fibroblasts, mesenchymal stem cells, etc.) and non-cellular (extracellular matrix, cytokines, growth factors, etc.), which collectively provide a permissive environment enabling tumor progression. In this review, we focused on the regulation of tumor microenvironment through ubiquitination. Ubiquitination is a reversible protein post-translational modification that regulates various key biological processes, whereby ubiquitin is attached to substrates through a catalytic cascade coordinated by multiple enzymes, including E1 ubiquitin-activating enzymes, E2 ubiquitin-conjugating enzymes and E3 ubiquitin ligases. In contrast, ubiquitin can be removed by deubiquitinases in the process of deubiquitination. Here, we discuss the roles of E3 ligases and deubiquitinases as modulators of both cellular and non-cellular components in tumor microenvironment, providing potential therapeutic targets for cancer therapy. Finally, we introduced several emerging technologies that can be utilized to develop effective therapeutic agents for targeting tumor microenvironment.

scholarly journals Structural, Evolutionary, and Functional Analysis of the Protein O-Mannosyltransferase Family in Pathogenic Fungi

2021 ◽  
Vol 7 (5) ◽  
pp. 328
Author(s):  
María Dolores Pejenaute-Ochoa ◽  
Carlos Santana-Molina ◽  
Damien P. Devos ◽  
José Ignacio Ibeas ◽  
Alfonso Fernández-Álvarez
Keyword(s):  
Functional Analysis ◽  
Secretory Pathway ◽  
Pathogenic Fungi ◽  
Fungal Pathogenesis ◽  
Post Translational Modification ◽  
Key Factors ◽  
Wide Range ◽  
Single Deletion ◽  
Asymmetrical Impact ◽  
Substrate Proteins

Protein O-mannosyltransferases (Pmts) comprise a group of proteins that add mannoses to substrate proteins at the endoplasmic reticulum. This post-translational modification is important for the faithful transfer of nascent glycoproteins throughout the secretory pathway. Most fungi genomes encode three O-mannosyltransferases, usually named Pmt1, Pmt2, and Pmt4. In pathogenic fungi, Pmts, especially Pmt4, are key factors for virulence. Although the importance of Pmts for fungal pathogenesis is well established in a wide range of pathogens, questions remain regarding certain features of Pmts. For example, why does the single deletion of each pmt gene have an asymmetrical impact on host colonization? Here, we analyse the origin of Pmts in fungi and review the most important phenotypes associated with Pmt mutants in pathogenic fungi. Hence, we highlight the enormous relevance of these glycotransferases for fungal pathogenic development.

RSARF: Prediction of Residue Solvent Accessibility from Protein Sequence Using Random Forest Method

2012 ◽  
Vol 19 (1) ◽  
pp. 50-56 ◽  
Author(s):  
Ganesan Pugalenthi ◽  
Krishna Kumar Kandaswamy ◽  
Kuo-Chen Chou ◽  
Saravanan Vivekanandan ◽  
Prasanna Kolatkar
Keyword(s):  
Random Forest ◽  
Protein Sequence ◽  
Solvent Accessibility ◽  
Random Forest Method

Functional analysis of the SUMOylation pathway in Drosophila

2008 ◽  
Vol 36 (5) ◽  
pp. 868-873 ◽  
Author(s):  
Ana Talamillo ◽  
Jonatan Sánchez ◽  
Rosa Barrio
Keyword(s):  
Functional Analysis ◽  
Fine Tuning ◽  
Model Systems ◽  
Post Translational Modification ◽  
Reversible Process ◽  
Cellular Processes ◽  
Tuning Mechanism ◽  
Sumo Conjugation

SUMOylation, a reversible process used as a ‘fine-tuning’ mechanism to regulate the role of multiple proteins, is conserved throughout evolution. This post-translational modification affects several cellular processes by the modulation of subcellular localization, activity or stability of a variety of substrates. A growing number of proteins have been identified as targets for SUMOylation, although, for many of them, the role of SUMO conjugation on their function is unknown. The use of model systems might facilitate the study of SUMOylation implications in vivo. In the present paper, we have compiled what is known about SUMOylation in Drosophila melanogaster, where the use of genetics provides new insights on SUMOylation's biological roles.

Understanding cellular glycan surfaces in the central nervous system

2018 ◽  
Vol 47 (1) ◽  
pp. 89-100 ◽  
Author(s):  
Sameera Iqbal ◽  
Mina Ghanimi Fard ◽  
Arun Everest-Dass ◽  
Nicolle H. Packer ◽  
Lindsay M. Parker
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Neural Development ◽  
Analytical Techniques ◽  
Detection Methods ◽  
Biological Processes ◽  
Post Translational Modification ◽  
Enzymatic Process ◽  
The Central Nervous System ◽  
Lateral Sclerosis

Abstract Glycosylation, the enzymatic process by which glycans are attached to proteins and lipids, is the most abundant and functionally important type of post-translational modification associated with brain development, neurodegenerative disorders, psychopathologies and brain cancers. Glycan structures are diverse and complex; however, they have been detected and targeted in the central nervous system (CNS) by various immunohistochemical detection methods using glycan-binding proteins such as anti-glycan antibodies or lectins and/or characterized with analytical techniques such as chromatography and mass spectrometry. The glycan structures on glycoproteins and glycolipids expressed in neural stem cells play key roles in neural development, biological processes and CNS maintenance, such as cell adhesion, signal transduction, molecular trafficking and differentiation. This brief review will highlight some of the important findings on differential glycan expression across stages of CNS cell differentiation and in pathological disorders and diseases such as Alzheimer's disease, Parkinson's disease, Huntington's disease, multiple sclerosis, amyotrophic lateral sclerosis, schizophrenia and brain cancer.

scholarly journals A computational in silico approach to predict high-risk coding and non-coding SNPs of human PLCG1 gene

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260054
Author(s):  
Safayat Mahmud Khan ◽  
Ar-Rafi Md. Faisal ◽  
Tasnin Akter Nila ◽  
Nabila Nawar Binti ◽  
Md. Ismail Hosen ◽  
...  
Keyword(s):  
Protein Structure ◽  
T Cell ◽  
Protein Stability ◽  
In Silico ◽  
Catalytic Domain ◽  
Cell Lymphoma ◽  
Computational Study ◽  
Solvent Accessibility ◽  
T Cell Lymphoma ◽  
Post Translational Modification

PLCG1 gene is responsible for many T-cell lymphoma subtypes, including peripheral T-cell lymphoma (PTCL), angioimmunoblastic T-cell lymphoma (AITL), cutaneous T-cell lymphoma (CTCL), adult T-cell leukemia/lymphoma along with other diseases. Missense mutations of this gene have already been found in patients of CTCL and AITL. The non-synonymous single nucleotide polymorphisms (nsSNPs) can alter the protein structure as well as its functions. In this study, probable deleterious and disease-related nsSNPs in PLCG1 were identified using SIFT, PROVEAN, PolyPhen-2, PhD-SNP, Pmut, and SNPS&GO tools. Further, their effect on protein stability was checked along with conservation and solvent accessibility analysis by I-mutant 2.0, MUpro, Consurf, and Netsurf 2.0 server. Some SNPs were finalized for structural analysis with PyMol and BIOVIA discovery studio visualizer. Out of the 16 nsSNPs which were found to be deleterious, ten nsSNPs had an effect on protein stability, and six mutations (L411P, R355C, G493D, R1158H, A401V and L455F) were predicted to be highly conserved. Among the six highly conserved mutations, four nsSNPs (R355C, A401V, L411P and L455F) were part of the catalytic domain. L411P, L455F and G493D made significant structural change in the protein structure. Two mutations-Y210C and R1158H had post-translational modification. In the 5’ and 3’ untranslated region, three SNPs, rs139043247, rs543804707, and rs62621919 showed possible miRNA target sites and DNA binding sites. This in silico analysis has provided a structured dataset of PLCG1 gene for further in vivo researches. With the limitation of computational study, it can still prove to be an asset for the identification and treatment of multiple diseases associated with the target gene.

Use of SciDBMaker as Tool for the Design of Specialized Biological Databases

2011 ◽  
pp. 251-265 ◽  
Author(s):  
Riadh Hammami ◽  
Ismail Fliss
Keyword(s):  
Molecular Biology ◽  
Best Practices ◽  
Exponential Growth ◽  
Protein Sequence ◽  
Knowledge Bases ◽  
Biological Processes ◽  
Biological Databases ◽  
Experimental Findings ◽  
Biology Research

The exponential growth of molecular biology research in recent decades has brought concomitant growth in the number and size of genomic and proteomic databases used to interpret experimental findings. Particularly, growth of protein sequence records created the need for smaller and manually annotated databases. Since scientists are continually developing new specific databases to enhance their understanding of biological processes, the authors created SciDBMaker to provide a tool for easy building of new specialized protein knowledge bases. This chapter also suggests best practices for specialized biological databases design, and provides examples for the implementation of these practices.

scholarly journals Developing Practical Therapeutic Strategies that Target Protein SUMOylation

2019 ◽  
Vol 20 (9) ◽  
pp. 960-969 ◽  
Author(s):  
Olivia F. Cox ◽  
Paul W. Huber
Keyword(s):  
Birth Defects ◽  
Inflammatory Disease ◽  
Intracellular Localization ◽  
Specific Protein ◽  
Therapeutic Strategies ◽  
Biological Processes ◽  
Post Translational Modification ◽  
Protein Activity ◽  
Multiple Components ◽  
Congenital Birth Defects

Post-translational modification by small ubiquitin-like modifier (SUMO) has emerged as a global mechanism for the control and integration of a wide variety of biological processes through the regulation of protein activity, stability and intracellular localization. As SUMOylation is examined in greater detail, it has become clear that the process is at the root of several pathologies including heart, endocrine, and inflammatory disease, and various types of cancer. Moreover, it is certain that perturbation of this process, either globally or of a specific protein, accounts for many instances of congenital birth defects. In order to be successful, practical strategies to ameliorate conditions due to disruptions in this post-translational modification will need to consider the multiple components of the SUMOylation machinery and the extraordinary number of proteins that undergo this modification.

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