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Lebedeva A, Veselovsky E, Kavun A, Belova E, Grigoreva T, Orlov P, Subbotovskaya A, Shipunov M, Mashkov O, Bilalov F, Shatalov P, Kaprin A, Shegai P, Diuzhev Z, Migiaev O, Vytnova N, Mileyko V, Ivanov M. Untapped Potential of Poly(ADP-Ribose) Polymerase Inhibitors: Lessons Learned From the Real-World Clinical Homologous Recombination Repair Mutation Testing. World J Oncol 2024; 15:562-578. [PMID: 38993246 PMCID: PMC11236374 DOI: 10.14740/wjon1820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/29/2024] [Indexed: 07/13/2024] Open
Abstract
Background Testing for homologous recombination deficiency (HRD) mutations is pivotal to assess individual risk, to proact preventive measures in healthy carriers and to tailor treatments for cancer patients. Increasing prominence of poly(ADP-ribose) polymerase (PARP) inhibitors with remarkable impact on molecular-selected patient survival across diverse nosologies, ingrains testing for BRCA genes and beyond in clinical practice. Nevertheless, testing strategies remain a question of debate. While several pathogenic BRCA1/2 gene variants have been described as founder pathogenic mutations frequently found in patients from Russia, other homologous recombination repair (HRR) genes have not been sufficiently explored. In this study, we present real-world data of routine HRR gene testing in Russia. Methods We evaluated clinical and sequencing data from cancer patients who had germline/somatic next-generation sequencing (NGS) HRR gene testing in Russia (BRCA1/2/ATM/CHEK2, or 15 HRR genes). The primary objectives of this study were to evaluate the frequency of BRCA1/2 and non-BRCA gene mutations in real-world unselected patients from Russia, and to determine whether testing beyond BRCA1/2 is feasible. Results Data of 2,032 patients were collected from February 2021 to February 2023. Most had breast (n = 715, 35.2%), ovarian (n = 259, 12.7%), pancreatic (n = 85, 4.2%), or prostate cancer (n = 58, 2.9%). We observed 586 variants of uncertain significance (VUS) and 372 deleterious variants (DVs) across 487 patients, with 17.6% HRR-mutation positivity. HRR testing identified 120 (11.8%) BRCA1/2-positive, and 172 (16.9%) HRR-positive patients. With 51 DVs identified in 242 formalin-fixed paraffin-embedded (FFPE), testing for variant origin clarification was required in one case (0.4%). Most BRCA1/2 germline variants were DV (121 DVs, 26 VUS); in non-BRCA1/2 genes, VUS were ubiquitous (53 DVs, 132 VUS). In silico prediction identified additional 4.9% HRR and 1.2% BRCA1/2/ATM/CHEK2 mutation patients. Conclusions Our study represents one of the first reports about the incidence of DV and VUS in HRR genes, including genes beyond BRCA1/2, identified in cancer patients from Russia, assessed by NGS. In silico predictions of the observed HRR gene variants suggest that non-BRCA gene testing is likely to result in higher frequency of patients who are candidates for PARP inhibitor therapy. Continuing sequencing efforts should clarify interpretation of frequently observed non-BRCA VUS.
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Affiliation(s)
- Alexandra Lebedeva
- OncoAtlas LLC, Moscow, Russia
- Sechenov First Moscow State Medical University, Moscow, Russia
| | - Egor Veselovsky
- OncoAtlas LLC, Moscow, Russia
- Department of Evolutionary Genetics of Development, Koltzov Institute of Developmental Biology of the Russian Academy of Sciences, Moscow, Russia
| | | | - Ekaterina Belova
- OncoAtlas LLC, Moscow, Russia
- Sechenov First Moscow State Medical University, Moscow, Russia
- Lomonosov Moscow State University, Moscow, Russia
| | - Tatiana Grigoreva
- OncoAtlas LLC, Moscow, Russia
- Sechenov First Moscow State Medical University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - Pavel Orlov
- The Federal Research Center for Fundamental and Translational Medicine (NIIECM FRC FTM), Novosibirsk, Russia
| | - Anna Subbotovskaya
- The Federal Research Center for Fundamental and Translational Medicine (NIIECM FRC FTM), Novosibirsk, Russia
| | - Maksim Shipunov
- The Federal Research Center for Fundamental and Translational Medicine (NIIECM FRC FTM), Novosibirsk, Russia
| | - Oleg Mashkov
- State Budgetary Institution of Healthcare Republican Medical Genetic Center, Ufa, Russia
| | - Fanil Bilalov
- State Budgetary Institution of Healthcare Republican Medical Genetic Center, Ufa, Russia
| | - Peter Shatalov
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk, Russia
| | - Andrey Kaprin
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk, Russia
| | - Peter Shegai
- National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk, Russia
| | | | | | | | - Vladislav Mileyko
- OncoAtlas LLC, Moscow, Russia
- Sechenov First Moscow State Medical University, Moscow, Russia
| | - Maxim Ivanov
- OncoAtlas LLC, Moscow, Russia
- Sechenov First Moscow State Medical University, Moscow, Russia
- Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
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Larrea‐Sebal A, Sasiain I, Jebari‐Benslaiman S, Galicia‐Garcia U, Uribe KB, Benito‐Vicente A, Gracia‐Rubio I, Bediaga‐Bañeres H, Arrasate S, Cenarro A, Civeira F, González‐Díaz H, Martín C. OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2305177. [PMID: 38258479 PMCID: PMC10987110 DOI: 10.1002/advs.202305177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 12/11/2023] [Indexed: 01/24/2024]
Abstract
Familial hypercholesterolemia (FH) is an inherited metabolic disease affecting cholesterol metabolism, with 90% of cases caused by mutations in the LDL receptor gene (LDLR), primarily missense mutations. This study aims to integrate six commonly used predictive software to create a new model for predicting LDLR mutation pathogenicity and mapping hot spot residues. Six predictive-software are selected: Polyphen-2, SIFT, MutationTaster, REVEL, VARITY, and MLb-LDLr. Software accuracy is tested with the characterized variants annotated in ClinVar and, by bioinformatic and machine learning techniques all models are integrated into a more accurate one. The resulting optimized model presents a specificity of 96.71% and a sensitivity of 98.36%. Hot spot residues with high potential of pathogenicity appear across all domains except for the signal peptide and the O-linked domain. In addition, translating this information into 3D structure of the LDLr highlights potentially pathogenic clusters within the different domains, which may be related to specific biological function. The results of this work provide a powerful tool to classify LDLR pathogenic variants. Moreover, an open-access guide user interface (OptiMo-LDLr) is provided to the scientific community. This study shows that combination of several predictive software results in a more accurate prediction to help clinicians in FH diagnosis.
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Affiliation(s)
- Asier Larrea‐Sebal
- Biofisika Institute (UPV/EHU, CSIC)Barrio Sarriena s/n.LeioaBizkaia48940Spain
- Department of Biochemistry and Molecular BiologyUniversidad del País Vasco UPV/EHULeioaBizkaia48940Spain
- Fundación Biofisika BizkaiaBarrio Sarriena s/n.LeioaBizkaia48940Spain
| | - Iñaki Sasiain
- Department of Biochemistry and Molecular BiologyUniversidad del País Vasco UPV/EHULeioaBizkaia48940Spain
| | - Shifa Jebari‐Benslaiman
- Biofisika Institute (UPV/EHU, CSIC)Barrio Sarriena s/n.LeioaBizkaia48940Spain
- Department of Biochemistry and Molecular BiologyUniversidad del País Vasco UPV/EHULeioaBizkaia48940Spain
| | - Unai Galicia‐Garcia
- Biofisika Institute (UPV/EHU, CSIC)Barrio Sarriena s/n.LeioaBizkaia48940Spain
- Department of Biochemistry and Molecular BiologyUniversidad del País Vasco UPV/EHULeioaBizkaia48940Spain
| | - Kepa B. Uribe
- Department of Biochemistry and Molecular BiologyUniversidad del País Vasco UPV/EHULeioaBizkaia48940Spain
| | - Asier Benito‐Vicente
- Biofisika Institute (UPV/EHU, CSIC)Barrio Sarriena s/n.LeioaBizkaia48940Spain
- Department of Biochemistry and Molecular BiologyUniversidad del País Vasco UPV/EHULeioaBizkaia48940Spain
| | - Irene Gracia‐Rubio
- Lipid Unit, Hospital Universitario Miguel Servet, IIS Aragon, CIBERCVUniversidad de ZaragozaZaragoza50009Spain
| | | | - Sonia Arrasate
- Department of Organic and ChemistryUniversity of the Basque Country UPV/EHULeioa48940Spain
| | - Ana Cenarro
- Lipid Unit, Hospital Universitario Miguel Servet, IIS Aragon, CIBERCVUniversidad de ZaragozaZaragoza50009Spain
| | - Fernando Civeira
- Lipid Unit, Hospital Universitario Miguel Servet, IIS Aragon, CIBERCVUniversidad de ZaragozaZaragoza50009Spain
| | - Humberto González‐Díaz
- Biofisika Institute (UPV/EHU, CSIC)Barrio Sarriena s/n.LeioaBizkaia48940Spain
- Ikerbasque, Basque Foundation for ScienceBilbaoBizkaia48013Spain
| | - Cesar Martín
- Biofisika Institute (UPV/EHU, CSIC)Barrio Sarriena s/n.LeioaBizkaia48940Spain
- Department of Biochemistry and Molecular BiologyUniversidad del País Vasco UPV/EHULeioaBizkaia48940Spain
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Nosková A, Li C, Wang X, Leonard AS, Pausch H, Kadri N. Exploiting public databases of genomic variation to quantify evolutionary constraint on the branch point sequence in 30 plant and animal species. Nucleic Acids Res 2023; 51:12069-12075. [PMID: 37953306 PMCID: PMC10711541 DOI: 10.1093/nar/gkad970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 10/06/2023] [Accepted: 10/18/2023] [Indexed: 11/14/2023] Open
Abstract
The branch point sequence is a degenerate intronic heptamer required for the assembly of the spliceosome during pre-mRNA splicing. Disruption of this motif may promote alternative splicing and eventually cause phenotype variation. Despite its functional relevance, the branch point sequence is not included in most genome annotations. Here, we predict branch point sequences in 30 plant and animal species and attempt to quantify their evolutionary constraints using public variant databases. We find an implausible variant distribution in the databases from 16 of 30 examined species. Comparative analysis of variants from whole-genome sequencing shows that variants submitted from exome sequencing or false positive variants are widespread in public databases and cause these irregularities. We then investigate evolutionary constraint with largely unbiased public variant databases in 14 species and find that the fourth and sixth position of the branch point sequence are more constrained than coding nucleotides. Our findings show that public variant databases should be scrutinized for possible biases before they qualify to analyze evolutionary constraint.
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Affiliation(s)
- Adéla Nosková
- Animal Genomics, ETH Zürich, Universitätstrasse 2, 8092 Zürich, Switzerland
| | - Chao Li
- Animal Genomics, ETH Zürich, Universitätstrasse 2, 8092 Zürich, Switzerland
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaolong Wang
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs/Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | | | - Hubert Pausch
- Animal Genomics, ETH Zürich, Universitätstrasse 2, 8092 Zürich, Switzerland
| | - Naveen Kumar Kadri
- Animal Genomics, ETH Zürich, Universitätstrasse 2, 8092 Zürich, Switzerland
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Shinwari K, Wu Y, Rehman HM, Xiao N, Bolkov M, Tuzankina I, Chereshnev V. In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function. BMC Bioinformatics 2023; 24:251. [PMID: 37322437 DOI: 10.1186/s12859-023-05361-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 05/25/2023] [Indexed: 06/17/2023] Open
Abstract
Hennekam Lymphangiectasia-Lymphedema Syndrome 3 (HKLLS3) is a rare genetical disorder caused by mutations in a few genes including ADAMTS3. It is characterized by lymphatic dysplasia, intestinal lymphangiectasia, severe lymphedema and distinctive facial appearance. Up till now, no extensive studies have been conducted to elucidate the mechanism of the disease caused by various mutations. As a preliminary investigation of HKLLS3, we sorted out the most deleterious nonsynonymous single nucleotide polymorphisms (nsSNPs) that might affect the structure and function of ADAMTS3 protein by using a variety of in silico tools. A total of 919 nsSNPs in the ADAMTS3 gene were identified. 50 nsSNPs were predicted to be deleterious by multiple computational tools. 5 nsSNPs (G298R, C567Y, A370T, C567R and G374S) were found to be the most dangerous and can be associated with the disease as predicted by different bioinformatics tools. Modelling of the protein shows it can be divided into segments 1, 2 and 3, which are connected by short loops. Segment 3 mainly consists of loops without substantial secondary structures. With prediction tools and molecular dynamics simulation, some SNPs were found to significantly destabilize the protein structure and disrupt the secondary structures, especially in segment 2. The deleterious effects of mutations in segment 1 are possibly not from destabilization but from other factors such as the change in phosphorylation as suggested by post-translational modification (PTM) studies. This is the first-ever study of ADAMTS3 gene polymorphism, and the predicted nsSNPs in ADAMST3, some of which have not been reported yet in patients, will serve for diagnostic purposes and further therapeutic implications in Hennekam syndrome, contributing to better diagnosis and treatment.
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Affiliation(s)
- Khyber Shinwari
- Institute of Chemical Engineering, Department of Immunochemistry, Ural Federal University, Yekaterinburg, Russia.
- Insitutite of Immunology and Physiology, Russian Academy of Science, Yekaterinburg, Russia.
| | - Yurong Wu
- Department of Chemistry, Hong Kong University of Science and Technology, Hong Kong, China
| | | | - Ningkun Xiao
- Department of Psychology, Ural Federal University, Yekaterinburg, Russia
| | - Mikhail Bolkov
- Insitutite of Immunology and Physiology, Russian Academy of Science, Yekaterinburg, Russia
| | - Irina Tuzankina
- Insitutite of Immunology and Physiology, Russian Academy of Science, Yekaterinburg, Russia
| | - Valery Chereshnev
- Insitutite of Immunology and Physiology, Russian Academy of Science, Yekaterinburg, Russia
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5
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Shinwari K, Rehman HM, Xiao N, Guojun L, Khan MA, Bolkov MA, Tuzankina IA, Chereshnev VA. Novel high-risk missense mutations identification in FAT4 gene causing Hennekam syndrome and Van Maldergem syndrome 2 through molecular dynamics simulation. INFORMATICS IN MEDICINE UNLOCKED 2023. [DOI: 10.1016/j.imu.2023.101160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
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6
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Mondal A, Paul D, Dastidar SG, Saha T, Goswami AM. In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis. Sci Rep 2022; 12:14934. [PMID: 36056132 PMCID: PMC9440047 DOI: 10.1038/s41598-022-19299-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 08/26/2022] [Indexed: 11/26/2022] Open
Abstract
Wnt1 is the first mammalian Wnt gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in Wnt1 are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the non-synonymous SNPs (nsSNPs), present in the human Wnt1 gene, are not known. In the present work, extensive bioinformatics analyses are used to screen 292 nsSNPs of Wnt1 for predicting pathogenic and harmless polymorphisms. We have identified 10 highly deleterious nsSNPs among which 7 are located within the highly conserved areas. These 10 nsSNPs are also predicted to affect the post-translational modifications of Wnt1. Further, structure based stability analyses of these 10 highly deleterious nsSNPs revealed 8 variants as highly destabilizing. These 8 highly destabilizing variants were shown to have high BC score and high RMSIP score from normal mode analyses. Based on the deformation energies, obtained from the normal mode analyses, variants like G169A, G169S, G331R and G331S were found to be unstable. Molecular Dynamics (MD) simulations revealed structural stability and fluctuation of WT Wnt1 and its prioritized variants. RMSD remained fluctuating mostly between 4 and 5 Å and occasionally between 3.5 and 5.5 Å ranges. RMSF in the CTD region (residues 330–360) of the binding pocket were lower compared to that of WT. Studying the impacts of nsSNPs on the binding interface of Wnt1 and seven Frizzled receptors have predicted substitutions which can stabilize or destabilize the binding interface. We have found that Wnt1 and FZD8-CRD is the best docked complex in our study. MD simulation based analyses of wild type Wnt1-FZD8-CRD complex and the 8 prioritized variants revealed that RMSF was higher in the unstructured regions and RMSD remained fluctuating in the region of 5 Å ± 1 Å. We have also observed differential Wnt1 gene expression pattern in normal, tumor and metastatic conditions across different tissues. Wnt1 gene expression was significantly higher in metastatic tissues of lungs, colon and skin; and was significantly lower in metastatic tissues of breast, esophagus and kidney. We have also found that Wnt1 deregulation is associated with survival outcome in patients with gastric and breast cancer. Furthermore, these computationally screened highly deleterious nsSNPs of Wnt1 can be analyzed in population based genetic studies and may help understand the Wnt1 associated diseases.
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Affiliation(s)
- Amalesh Mondal
- Department of Physiology, Katwa College, Purba Bardhaman, Katwa, West Bengal, 713130, India.,Department of Molecular Biology and Biotechnology, University of Kalyani, Nadia, Kalyani, India
| | - Debarati Paul
- Division of Bioinformatics, Bose Institute, P-1/12 CIT Scheme VII M, Kolkata, 700054, India
| | - Shubhra Ghosh Dastidar
- Division of Bioinformatics, Bose Institute, P-1/12 CIT Scheme VII M, Kolkata, 700054, India
| | - Tanima Saha
- Department of Molecular Biology and Biotechnology, University of Kalyani, Nadia, Kalyani, India.
| | - Achintya Mohan Goswami
- Department of Physiology, Krishnagar Govt. College, Nadia, Krishnagar, West Bengal, 741101, India.
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A correction into "Theoretical prediction of the trigger linkage, cage strain and explosive sensitivity of CL-20 in the external electric fields". J Mol Model 2021; 27:352. [PMID: 34775520 DOI: 10.1007/s00894-021-04978-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 11/08/2021] [Indexed: 10/19/2022]
Abstract
In order to obtain the more reliable impact sensitivities of CL-20 in the external electric fields, the calculation scheme for the sensitivities shown in the paper published in Journal of Molecular Modeling (entitled "Theoretical prediction of the trigger linkage, cage strain and explosive sensitivity of CL-20 in the external electric fields") was re-evaluated. We found that the model with the averages of the surface electrostatic potentials (ESPs) ([Formula: see text] and [Formula: see text]) may be more suitable for predicting the impact sensitivity of the cage-shaped CL-20 than those containing the variabilities of the surface ESPs ([Formula: see text] and [Formula: see text]) or the balance of charges (ν).
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Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, In Silico Analysis. ScientificWorldJournal 2021; 2021:6642626. [PMID: 34234628 PMCID: PMC8211529 DOI: 10.1155/2021/6642626] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 05/27/2021] [Indexed: 01/02/2023] Open
Abstract
Hennekam lymphangiectasia-lymphedema syndrome has been linked to single-nucleotide polymorphisms in the CCBE1 (collagen and calcium-binding EGF domains 1) gene. Several bioinformatics methods were used to find the most dangerous nsSNPs that could affect CCBE1 structure and function. Using state-of-the-art in silico tools, this study examined the most pathogenic nonsynonymous single-nucleotide polymorphisms (nsSNPs) that disrupt the CCBE1 protein and extracellular matrix remodeling and migration. Our results indicate that seven nsSNPs, rs115982879, rs149792489, rs374941368, rs121908254, rs149531418, rs121908251, and rs372499913, are deleterious in the CCBE1 gene, four (G330E, C102S, C174R, and G107D) of which are the highly deleterious, two of them (G330E and G107D) have never been seen reported in the context of Hennekam syndrome. Twelve missense SNPs, rs199902030, rs267605221, rs37517418, rs80008675, rs116596858, rs116675104, rs121908252, rs147974432, rs147681552, rs192224843, rs139059968, and rs148498685, are found to revert into stop codons. Structural homology-based methods and sequence homology-based tools revealed that 8.8% of the nsSNPs are pathogenic. SIFT, PolyPhen2, M-CAP, CADD, FATHMM-MKL, DANN, PANTHER, Mutation Taster, LRT, and SNAP2 had a significant score for identifying deleterious nsSNPs. The importance of rs374941368 and rs200149541 in the prediction of post-translation changes was highlighted because it impacts a possible phosphorylation site. Gene-gene interactions revealed CCBE1's association with other genes, showing its role in a number of pathways and coexpressions. The top 16 deleterious nsSNPs found in this research should be investigated further in the future while researching diseases caused CCBE1 gene specifically HS. The FT web server predicted amino acid residues involved in the ligand-binding site of the CCBE1 protein, and two of the substitutions (R167W and T153N) were found to be involved. These highly deleterious nsSNPs can be used as marker pathogenic variants in the mutational diagnosis of the HS syndrome, and this research also offers potential insights that will aid in the development of precision medicines. CCBE1 proteins from Hennekam syndrome patients should be tested in animal models for this purpose.
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Mondal A, Goswami AM, Saha T. In silico prediction of the functional consequences of nsSNPs in human beta-catenin gene. GENE REPORTS 2021. [DOI: 10.1016/j.genrep.2021.101066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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10
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Popov AV, Endutkin AV, Yatsenko DD, Yudkina AV, Barmatov AE, Makasheva KA, Raspopova DY, Diatlova EA, Zharkov DO. Molecular dynamics approach to identification of new OGG1 cancer-associated somatic variants with impaired activity. J Biol Chem 2021; 296:100229. [PMID: 33361155 PMCID: PMC7948927 DOI: 10.1074/jbc.ra120.014455] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 01/02/2023] Open
Abstract
DNA of living cells is always exposed to damaging factors. To counteract the consequences of DNA lesions, cells have evolved several DNA repair systems, among which base excision repair is one of the most important systems. Many currently used antitumor drugs act by damaging DNA, and DNA repair often interferes with chemotherapy and radiotherapy in cancer cells. Tumors are usually extremely genetically heterogeneous, often bearing mutations in DNA repair genes. Thus, knowledge of the functionality of cancer-related variants of proteins involved in DNA damage response and repair is of great interest for personalization of cancer therapy. Although computational methods to predict the variant functionality have attracted much attention, at present, they are mostly based on sequence conservation and make little use of modern capabilities in computational analysis of 3D protein structures. We have used molecular dynamics (MD) to model the structures of 20 clinically observed variants of a DNA repair enzyme, 8-oxoguanine DNA glycosylase. In parallel, we have experimentally characterized the activity, thermostability, and DNA binding in a subset of these mutant proteins. Among the analyzed variants of 8-oxoguanine DNA glycosylase, three (I145M, G202C, and V267M) were significantly functionally impaired and were successfully predicted by MD. Alone or in combination with sequence-based methods, MD may be an important functional prediction tool for cancer-related protein variants of unknown significance.
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Affiliation(s)
- Aleksandr V Popov
- Laboratory of Genome and Protein Engineering, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia.
| | - Anton V Endutkin
- Laboratory of Genome and Protein Engineering, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia
| | - Darya D Yatsenko
- Laboratory of Genome and Protein Engineering, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia; Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
| | - Anna V Yudkina
- Laboratory of Genome and Protein Engineering, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia
| | - Alexander E Barmatov
- Laboratory of Genome and Protein Engineering, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia
| | - Kristina A Makasheva
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
| | - Darya Yu Raspopova
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia
| | - Evgeniia A Diatlova
- Laboratory of Genome and Protein Engineering, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia
| | - Dmitry O Zharkov
- Laboratory of Genome and Protein Engineering, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia; Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia.
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11
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New variants in Spanish Niemann–Pick type c disease patients. Mol Biol Rep 2020; 47:2085-2095. [DOI: 10.1007/s11033-020-05308-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 02/06/2020] [Indexed: 01/26/2023]
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Erdem A, Eksin E. Electrochemical Detection of Solution Phase Hybridization Related to Single Nucleotide Mutation by Carbon Nanofibers Enriched Electrodes. MATERIALS (BASEL, SWITZERLAND) 2019; 12:E3377. [PMID: 31623126 PMCID: PMC6829215 DOI: 10.3390/ma12203377] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 10/06/2019] [Accepted: 10/11/2019] [Indexed: 12/16/2022]
Abstract
In the present study, a sensitive and selective impedimetric detection of solution-phase nucleic acid hybridization related to Factor V Leiden (FV Leiden) mutation was performed by carbon nanofibers (CNF) modified screen printed electrodes (SPE). The microscopic and electrochemical characterization of CNF-SPEs was explored in comparison to the unmodified electrodes. Since the FV Leiden mutation is a widespread inherited risk factor predisposing to venous thromboembolism, this study herein aimed to perform the impedimetric detection of FV Leiden mutation by a zip nucleic acid (ZNA) probe-based assay in combination with CNF-SPEs. The selectivity of the assay was then examined against the mutation-free DNA sequences as well as the synthetic PCR samples.
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Affiliation(s)
- Arzum Erdem
- Faculty of Pharmacy, Analytical Chemistry Department, Ege University, Bornova, Izmir 35100, Turkey.
- Biotechnology Department, Graduate School of Natural and Applied Sciences, Ege University, Bornova, Izmir 35100, Turkey.
| | - Ece Eksin
- Faculty of Pharmacy, Analytical Chemistry Department, Ege University, Bornova, Izmir 35100, Turkey.
- Biotechnology Department, Graduate School of Natural and Applied Sciences, Ege University, Bornova, Izmir 35100, Turkey.
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13
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Portelli S, Phelan JE, Ascher DB, Clark TG, Furnham N. Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis. Sci Rep 2018; 8:15356. [PMID: 30337649 PMCID: PMC6193939 DOI: 10.1038/s41598-018-33370-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 09/26/2018] [Indexed: 12/21/2022] Open
Abstract
Genomic studies of Mycobacterium tuberculosis bacteria have revealed loci associated with resistance to anti-tuberculosis drugs. However, the molecular consequences of polymorphism within these candidate loci remain poorly understood. To address this, we have used computational tools to quantify the effects of point mutations conferring resistance to three major anti-tuberculosis drugs, isoniazid (n = 189), rifampicin (n = 201) and D-cycloserine (n = 48), within their primary targets, katG, rpoB, and alr. Notably, mild biophysical effects brought about by high incidence mutations were considered more tolerable, while different structural effects brought about by haplotype combinations reflected differences in their functional importance. Additionally, highly destabilising mutations such as alr Y388, highlighted a functional importance of the wildtype residue. Our qualitative analysis enabled us to relate resistance mutations onto a theoretical landscape linking enthalpic changes with phenotype. Such insights will aid the development of new resistance-resistant drugs and, via an integration into predictive tools, in pathogen surveillance.
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Affiliation(s)
- Stephanie Portelli
- Department of Biochemistry and Molecular Biology, Bio21 Institute, University of Melbourne, Victoria, 3051, Australia
| | - Jody E Phelan
- Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - David B Ascher
- Department of Biochemistry and Molecular Biology, Bio21 Institute, University of Melbourne, Victoria, 3051, Australia
| | - Taane G Clark
- Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Nicholas Furnham
- Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
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14
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Patterson MC. The More Things Change… Child Neurology in the Age of Next-Generation Sequencing. Semin Pediatr Neurol 2018; 26:37-38. [PMID: 29961514 DOI: 10.1016/j.spen.2017.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Marc C Patterson
- Division of Child and Adolescent Neurology, Departments of Neurology, Pediatrics and Medical Genetics, Mayo Clinic Children's Center, Rochester, MN.
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15
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Ivanov M, Matsvay A, Glazova O, Krasovskiy S, Usacheva M, Amelina E, Chernyak A, Ivanov M, Musienko S, Prodanov T, Kovalenko S, Baranova A, Khafizov K. Targeted sequencing reveals complex, phenotype-correlated genotypes in cystic fibrosis. BMC Med Genomics 2018; 11:13. [PMID: 29504914 PMCID: PMC5836842 DOI: 10.1186/s12920-018-0328-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background Cystic fibrosis (CF) is one of the most common life-threatening genetic disorders. Around 2000 variants in the CFTR gene have been identified, with some proportion known to be pathogenic and 300 disease-causing mutations have been characterized in detail by CFTR2 database, which complicates its analysis with conventional methods. Methods We conducted next-generation sequencing (NGS) in a cohort of 89 adult patients negative for p.Phe508del homozygosity. Complete clinical and demographic information were available for 84 patients. Results By combining MLPA with NGS, we identified disease-causing alleles in all the CF patients. Importantly, in 10% of cases, standard bioinformatics pipelines were inefficient in identifying causative mutations. Class IV-V mutations were observed in 38 (45%) cases, predominantly ones with pancreatic sufficient CF disease; rest of the patients had Class I-III mutations. Diabetes was seen only in patients homozygous for class I-III mutations. We found that 12% of the patients were heterozygous for more than two pathogenic CFTR mutations. Two patients were observed with p.[Arg1070Gln, Ser466*] complex allele which was associated with milder pulmonary obstructions (FVC 107 and 109% versus 67%, CI 95%: 63-72%; FEV 90 and 111% versus 47%, CI 95%: 37-48%). For the first time p.[Phe508del, Leu467Phe] complex allele was reported, observed in four patients (5%). Conclusion NGS can be a more information-gaining technology compared to standard methods. Combined with its equivalent diagnostic performance, it can therefore be implemented in the clinical practice, although careful validation is still required. Electronic supplementary material The online version of this article (10.1186/s12920-018-0328-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Maxim Ivanov
- Moscow Institute of Physics and Technology, Department of Biological and Medical Physics, Dolgoprudny, Moscow Region, Russian Federation, 141700. .,Atlas Biomed Group, Moscow, Russian Federation, 121069.
| | - Alina Matsvay
- Moscow Institute of Physics and Technology, Department of Biological and Medical Physics, Dolgoprudny, Moscow Region, Russian Federation, 141700.,Central Research Scientific Institute of Epidemiology, Moscow, Russian Federation, 111123
| | - Olga Glazova
- Moscow Institute of Physics and Technology, Department of Biological and Medical Physics, Dolgoprudny, Moscow Region, Russian Federation, 141700
| | | | - Mariya Usacheva
- Federal Pulmonology Research Institute, Moscow, Russian Federation, 105077
| | - Elena Amelina
- Federal Pulmonology Research Institute, Moscow, Russian Federation, 105077
| | - Aleksandr Chernyak
- Federal Pulmonology Research Institute, Moscow, Russian Federation, 105077
| | - Mikhail Ivanov
- Moscow Institute of Physics and Technology, Department of Biological and Medical Physics, Dolgoprudny, Moscow Region, Russian Federation, 141700
| | | | - Timofey Prodanov
- Department of Mathematics and Information Technology, St. Petersburg Academic University, St. Petersburg, Russian Federation, 195251
| | - Sergey Kovalenko
- The Institute of Molecular Biology and Biophysics, Novosibirsk, Russian Federation, 630117.,Novosibirsk State University, Novosibirsk, Russian Federation, 630090
| | - Ancha Baranova
- Moscow Institute of Physics and Technology, Department of Biological and Medical Physics, Dolgoprudny, Moscow Region, Russian Federation, 141700.,Atlas Biomed Group, Moscow, Russian Federation, 121069.,Research Centre for Medical Genetics, Moscow, Russia.,Center for the Study of Chronic Metabolic Diseases, School of Systems Biology, George Mason University, Fairfax, VA, USA
| | - Kamil Khafizov
- Moscow Institute of Physics and Technology, Department of Biological and Medical Physics, Dolgoprudny, Moscow Region, Russian Federation, 141700.,Central Research Scientific Institute of Epidemiology, Moscow, Russian Federation, 111123
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16
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Fassio AV, Martins PM, Guimarães SDS, Junior SSA, Ribeiro VS, de Melo-Minardi RC, Silveira SDA. Vermont: a multi-perspective visual interactive platform for mutational analysis. BMC Bioinformatics 2017; 18:403. [PMID: 28929973 PMCID: PMC5606220 DOI: 10.1186/s12859-017-1789-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A huge amount of data about genomes and sequence variation is available and continues to grow on a large scale, which makes experimentally characterizing these mutations infeasible regarding disease association and effects on protein structure and function. Therefore, reliable computational approaches are needed to support the understanding of mutations and their impacts. Here, we present VERMONT 2.0, a visual interactive platform that combines sequence and structural parameters with interactive visualizations to make the impact of protein point mutations more understandable. RESULTS We aimed to contribute a novel visual analytics oriented method to analyze and gain insight on the impact of protein point mutations. To assess the ability of VERMONT to do this, we visually examined a set of mutations that were experimentally characterized to determine if VERMONT could identify damaging mutations and why they can be considered so. CONCLUSIONS VERMONT allowed us to understand mutations by interpreting position-specific structural and physicochemical properties. Additionally, we note some specific positions we believe have an impact on protein function/structure in the case of mutation.
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Affiliation(s)
- Alexandre V Fassio
- Department of Computer Science, Universidade Federal de Minas Gerais, 6627, Antônio Carlos avenue, Pampulha, Belo Horizonte, 31270-901, Brazil. .,Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais, 6627, Antônio Carlos avenue, Pampulha, Belo Horizonte, 31270-901, Brazil.
| | - Pedro M Martins
- Department of Computer Science, Universidade Federal de Minas Gerais, 6627, Antônio Carlos avenue, Pampulha, Belo Horizonte, 31270-901, Brazil.,Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais, 6627, Antônio Carlos avenue, Pampulha, Belo Horizonte, 31270-901, Brazil
| | - Samuel da S Guimarães
- Department of Computer Science, Universidade Federal de Viçosa, Peter Henry Rolfs avenue, Campus Universitário, Viçosa, 36570-900, Brazil
| | - Sócrates S A Junior
- Department of Computer Science, Universidade Federal de Viçosa, Peter Henry Rolfs avenue, Campus Universitário, Viçosa, 36570-900, Brazil
| | - Vagner S Ribeiro
- Department of Computer Science, Universidade Federal de Viçosa, Peter Henry Rolfs avenue, Campus Universitário, Viçosa, 36570-900, Brazil
| | - Raquel C de Melo-Minardi
- Department of Computer Science, Universidade Federal de Minas Gerais, 6627, Antônio Carlos avenue, Pampulha, Belo Horizonte, 31270-901, Brazil
| | - Sabrina de A Silveira
- Department of Computer Science, Universidade Federal de Viçosa, Peter Henry Rolfs avenue, Campus Universitário, Viçosa, 36570-900, Brazil
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17
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Song KP, Ren FD, Zhang SH, Shi WJ. Theoretical insights into the stabilities, detonation performance, and electrostatic potentials of cocrystals containing α- or β-HMX and TATB, FOX-7, NTO, or DMF in various molar ratios. J Mol Model 2016; 22:249. [PMID: 27686560 DOI: 10.1007/s00894-016-3111-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 09/01/2016] [Indexed: 11/26/2022]
Abstract
A molecular dynamics method was employed to study the binding energies associated with the cocrystallization (at selected crystal planes) of either 1,3,5-triamino-2,4,6-trinitro-benzene (TATB), 1,1-diamino-2,2-dinitroethylene, 3-nitro-1,2,4-triazol-5-one (TATB, FOX-7, and NTO, respectively, all of which are explosives), or N,N-dimethylformamide (DMF, a nonenergetic solvent) in various molar ratios with 1,3,5,7-tetranitro-1,3,5,7-tetrazacyclooctane in its α and β conformations (α-HMX and β-HMX, respectively). The results showed that the cocrystals with low molar ratios (2:1, 1:1, 1:2, and 1:3) were the most stable. The binding energies of HMX/NTO and HMX/DMF were larger than those of HMX/TATB and HMX/FOX-7. According to the calculated stabilities, HMX prefers to adopt its α form in HMX/TATB and its β form in HMX/NTO, whereas the two forms coexist in HMX/FOX-7. For HMX/TATB, HMX/NTO, and α-HMX/FOX-7, increasing the proportion of the cocrystal component with the highest detonation heat (HMX in the first two cases, FOX-7 in the latter) increases the detonation heat, velocity, and pressure of the cocrystal. However, increasing the proportion of the component with the highest detonation heat in β-HMX/FOX-7 and γ-CL-20/FOX-7 increases the detonation heat of the cocrystal but decreases its detonation velocity. An investigation of the surface electrostatic potential revealed how the sensitivity changes upon cocrystal formation. Graphical Abstract Surface electrostatic potential of HMX/TATB.
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Affiliation(s)
- Ken-Peng Song
- College of Chemical Engineering and Environment, North University of China, Taiyuan, 030051, China
| | - Fu-de Ren
- College of Chemical Engineering and Environment, North University of China, Taiyuan, 030051, China.
| | - Shu-Hai Zhang
- College of Chemical Engineering and Environment, North University of China, Taiyuan, 030051, China
| | - Wen-Jing Shi
- The Third Hospital of Shanxi Medical University, Taiyuan, 030053, China
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The impact of structural genomics: the first quindecennial. ACTA ACUST UNITED AC 2016; 17:1-16. [PMID: 26935210 DOI: 10.1007/s10969-016-9201-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2015] [Accepted: 02/17/2016] [Indexed: 12/21/2022]
Abstract
The period 2000-2015 brought the advent of high-throughput approaches to protein structure determination. With the overall funding on the order of $2 billion (in 2010 dollars), the structural genomics (SG) consortia established worldwide have developed pipelines for target selection, protein production, sample preparation, crystallization, and structure determination by X-ray crystallography and NMR. These efforts resulted in the determination of over 13,500 protein structures, mostly from unique protein families, and increased the structural coverage of the expanding protein universe. SG programs contributed over 4400 publications to the scientific literature. The NIH-funded Protein Structure Initiatives alone have produced over 2000 scientific publications, which to date have attracted more than 93,000 citations. Software and database developments that were necessary to handle high-throughput structure determination workflows have led to structures of better quality and improved integrity of the associated data. Organized and accessible data have a positive impact on the reproducibility of scientific experiments. Most of the experimental data generated by the SG centers are freely available to the community and has been utilized by scientists in various fields of research. SG projects have created, improved, streamlined, and validated many protocols for protein production and crystallization, data collection, and functional analysis, significantly benefiting biological and biomedical research.
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In-Silico Computing of the Most Deleterious nsSNPs in HBA1 Gene. PLoS One 2016; 11:e0147702. [PMID: 26824843 PMCID: PMC4733110 DOI: 10.1371/journal.pone.0147702] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 01/07/2016] [Indexed: 01/30/2023] Open
Abstract
Background α-Thalassemia (α-thal) is a genetic disorder caused by the substitution of single amino acid or large deletions in the HBA1 and/or HBA2 genes. Method Using modern bioinformatics tools as a systematic in-silico approach to predict the deleterious SNPs in the HBA1 gene and its significant pathogenic impact on the functions and structure of HBA1 protein was predicted. Results and Discussion A total of 389 SNPs in HBA1 were retrieved from dbSNP database, which includes: 201 non-coding synonymous (nsSNPs), 43 human active SNPs, 16 intronic SNPs, 11 mRNA 3′ UTR SNPs, 9 coding synonymous SNPs, 9 5′ UTR SNPs and other types. Structural homology-based method (PolyPhen) and sequence homology-based tool (SIFT), SNPs&Go, PROVEAN and PANTHER revealed that 2.4% of the nsSNPs are pathogenic. Conclusions A total of 5 nsSNPs (G60V, K17M, K17T, L92F and W15R) were predicted to be responsible for the structural and functional modifications of HBA1 protein. It is evident from the deep comprehensive in-silico analysis that, two nsSNPs such as G60Vand W15R in HBA1 are highly deleterious. These “2 pathogenic nsSNPs” can be considered for wet-lab confirmatory analysis.
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