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Hayat C, Subramaniyan V, Alamri MA, Wong LS, Khalid A, Abdalla AN, Afridi SG, Kumarasamy V, Wadood A. Identification of new potent NLRP3 inhibitors by multi-level in-silico approaches. BMC Chem 2024; 18:76. [PMID: 38637900 PMCID: PMC11027297 DOI: 10.1186/s13065-024-01178-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/02/2024] [Indexed: 04/20/2024] Open
Abstract
Nod-like receptor protein 3 (NLRP-3), is an intracellular sensor that is involved in inflammasome activation, and the aberrant expression of NLRP3 is responsible for diabetes mellitus, its complications, and many other inflammatory diseases. NLRP3 is considered a promising drug target for novel drug design. Here, a pharmacophore model was generated from the most potent inhibitor, and its validation was performed by the Gunner-Henry scoring method. The validated pharmacophore was used to screen selected compounds databases. As a result, 646 compounds were mapped on the pharmacophore model. After applying Lipinski's rule of five, 391 hits were obtained. All the hits were docked into the binding pocket of target protein. Based on docking scores and interactions with binding site residues, six compounds were selected potential hits. To check the stability of these compounds, 100 ns molecular dynamic (MD) simulations were performed. The RMSD, RMSF, DCCM and hydrogen bond analysis showed that all the six compounds formed stable complex with NLRP3. The binding free energy with the MM-PBSA approach suggested that electrostatic force, and van der Waals interactions, played a significant role in the binding pattern of these compounds. Thus, the outcomes of the current study could provide insights into the identification of new potential NLRP3 inflammasome inhibitors against diabetes and its related disorders.
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Affiliation(s)
- Chandni Hayat
- Department of Biochemistry, Abdul Wali Khan University, Mardan, Mardan, 23200, Pakistan
| | - Vetriselvan Subramaniyan
- Pharmacology Unit, Jeffrey Cheah School of Medicine and Health Sciences, Monash University, Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500, Subang Jaya, Selangor Darul Ehsan, Malaysia.
- Center for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India.
| | - Mubarak A Alamri
- Department of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia
| | - Ling Shing Wong
- Faculty of Health and Life Sciences, INTI International University, 71800, Nilai, Malaysia
| | - Asaad Khalid
- Substance Abuse and Toxicology Research Center, Jazan University, P.O. Box: 114, 45142, Jazan, Saudi Arabia.
| | - Ashraf N Abdalla
- Department of Pharmacology and Toxicology, College of Pharmacy, Umm Al-Qura University, 21955, Makkah, Saudi Arabia
| | - Sahib Gul Afridi
- Department of Biochemistry, Abdul Wali Khan University, Mardan, Mardan, 23200, Pakistan
| | - Vinoth Kumarasamy
- Department of Parasitology and Medical Entomology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Cheras, Kuala Lumpur, Malaysia.
| | - Abdul Wadood
- Department of Biochemistry, Abdul Wali Khan University, Mardan, Mardan, 23200, Pakistan.
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Abu-Izneid T, Rauf A, Akram Z, Naz S, Wadood A, Muhammad N, Hayat C, Al-Awthan YS, Bahattab OS. Discovery of new α-glucosides, antiglycation agent, and in silico study of 2-(3,4-dihydroxyphenyl)-7,8-dihydroxy-3-methoxy-4H-chromen-4-one isolated from Pistacia chinensis. Heliyon 2024; 10:e27298. [PMID: 38495136 PMCID: PMC10943337 DOI: 10.1016/j.heliyon.2024.e27298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/19/2024] Open
Abstract
Pistacia chinensis is locally practiced for treating diabetes, pain, inflammation, and erectile dysfunction. Therefore, the current studies subjected the crude extract/fractions and the isolated compound (2-(3,4-dihydroxyphenyl)-7,8-dihydroxy-3-methoxy-4H-chromen-4-one) to α-glucosidase inhibitor and anti-glycation activities. The development of long-term complications associated with diabetes is primarily caused by chronic hyperglycemia. Regarding α-glucosidase, the most significant inhibitory effect was observed with compound 1 (93.09%), followed by the methanolic extract (80.87%) with IC50 values of 45.86 and 86.32 μM. The maximum anti-glycation potential was shown by an isolated compound 1 followed by methanolic extract with effect inhibition of 90.12 and 72.09, respectively. Compound 1 is expected to have the highest gastrointestinal absorption rate, with a predicted absorption rate of 86.156%. This indicates oral suitability. The compound 1 is expected to have no harmful effects on the liver. In addition, our docking results suggest that alpha-glucosidase and isolated compounds showed strong interaction with ILE821, GLN900, and ALA901 residues, along with a -11.95 docking score.
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Affiliation(s)
- Tareq Abu-Izneid
- Pharmaceutical Sciences Program, College of Pharmacy, Al Ain University, Al Ain, 64141, United Arab Emirates
| | - Abdur Rauf
- Department of Chemistry, University of Swabi, Swabi, Anbar, Khyber Pakhtunkhwa, Pakistan
| | - Zuneera Akram
- Department of Pharmacology, Faculty of Pharmaceutical Sciences, Baqai Medical University, Karachi, Pakistan
| | - Saima Naz
- Institute of Biotechnology & Microbiology, Bacha Khan University Charsadda, Charsadda, Khyber Pakhtunkhwa, Pakistan
| | - Abdul Wadood
- Department of Biochemistry, Abdul Wali Khan University Mardan KPK, Pakistan
| | - Naveed Muhammad
- Department of Pharmacy, Abdul Wali Khan, University Mardan, Khyber Pakhtunkhwa, Pakistan
| | - Chandni Hayat
- Department of Biochemistry, Abdul Wali Khan University Mardan KPK, Pakistan
| | - Yahya S. Al-Awthan
- Department of Biology, Faculty of Science, University of Tabuk, Tabuk, 71491, Saudi Arabia
| | - Omar S. Bahattab
- Department of Biology, Faculty of Science, University of Tabuk, Tabuk, 71491, Saudi Arabia
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Hayat C, Shahab M, Khan SA, Liang C, Duan X, Khan H, Zheng G, Ul-Haq Z. Design of a novel multiple epitope-based vaccine: an immunoinformatics approach to combat monkeypox. J Biomol Struct Dyn 2023; 41:9344-9355. [PMID: 36331082 PMCID: PMC9718376 DOI: 10.1080/07391102.2022.2141887] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
Monkeypox virus is an infectious agent that causes fever, Pneumonitis encephalitis, rash, lymphadenopathy and bacterial infection. The current outbreak of monkeypox has reawakened the global health concern. In the current situation of increasing viral infection, no vaccine or drug is available for monkeypox. Thus, there is an urgent need for viable vaccine development to prevent viral transmission by boosting human immunity. Herein, using immunoinformatics approaches, a multi-epitope vaccine was constructed for the Monkeypox virus. In this connection, B-Cell and T-cell epitopes were identified and joined with the help of adjutants and linkers. The vaccine construct was selected based on promising vaccine candidates and immunogenic potential. Further epitopes were selected based on antigenicity score, non-allergenicity and good immunological properties. Molecular docking reveals strong interactions between TLR-9 and the predicted vaccine construct. Finally, molecular dynamics simulations were performed to evaluate the stability and compactness of the constructed vaccine. The MD simulation results demonstrated the significant stability of the polypeptide vaccine construct. The predicted vaccine represented good stability, expression, immunostimulatory capabilities and significant solubility. Design vaccine was verified as efficient in different computer-based immune response investigations. Additionally, the constructed vaccine also represents a good population coverage in computer base analysis.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Chandni Hayat
- Department of Biochemistry, Computational Medicinal Chemistry Laboratory, UCSS, Abdul Wali Khan University, Mardan, Pakistan
| | - Muhammad Shahab
- State Key Laboratories Of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Salman Ali Khan
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Chaoqun Liang
- State Key Laboratories Of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Xiuyuan Duan
- State Key Laboratories Of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Haleema Khan
- Department of Chemistry, UCSS, Abdul Wali Khan University, Mardan, Pakistan
| | - Guojun Zheng
- State Key Laboratories Of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Zaheer Ul-Haq
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
- Third World Center for Science and Technology, H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
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Ajmal A, Mahmood A, Hayat C, Hakami MA, Alotaibi BS, Umair M, Abdalla AN, Li P, He P, Wadood A, Hu J. Computer-assisted drug repurposing for thymidylate kinase drug target in monkeypox virus. Front Cell Infect Microbiol 2023; 13:1159389. [PMID: 37313340 PMCID: PMC10258308 DOI: 10.3389/fcimb.2023.1159389] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 05/10/2023] [Indexed: 06/15/2023] Open
Abstract
Introduction Monkeypox is a zoonotic disease caused by brick-shaped enveloped monkeypox (Mpox) virus that belongs to the family of ancient viruses known as Poxviridae. Subsequently, the viruses have been reported in various countries. The virus is transmitted by respiratory droplets, skin lesions, and infected body fluids. The infected patients experience fluid-filled blisters, maculopapular rash, myalgia, and fever. Due to the lack of effective drugs or vaccines, there is a need to identify the most potent and effective drugs to reduce the spread of monkeypox. The current study aimed to use computational methods to quickly identify potentially effective drugs against the Mpox virus. Methods In our study, the Mpox protein thymidylate kinase (A48R) was targeted because it is a unique drug target. We screened a library of 9000 FDA-approved compounds of the DrugBank database by using various in silico approaches, such as molecular docking and molecular dynamic (MD) simulation. Results Based on docking score and interaction analysis, compounds DB12380, DB13276, DB13276, DB11740, DB14675, DB11978, DB08526, DB06573, DB15796, DB08223, DB11736, DB16250, and DB16335 were predicted as the most potent. To examine the dynamic behavior and stability of the docked complexes, three compounds-DB16335, DB15796, and DB16250 -along with the Apo state were simulated for 300ns. The results revealed that compound DB16335 revealed the best docking score (-9.57 kcal/mol) against the Mpox protein thymidylate kinase. Discussion Additionally, during the 300 ns MD simulation period, thymidylate kinase DB16335 showed great stability. Further, in vitro and in vivo study is recommended for the final predicted compounds.
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Affiliation(s)
- Amar Ajmal
- Department of Biochemistry, Computational Medicinal Chemistry Laboratory, Abdul Wali Khan University, Mardan, Pakistan
| | - Arif Mahmood
- Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Chandni Hayat
- Department of Biochemistry, Computational Medicinal Chemistry Laboratory, Abdul Wali Khan University, Mardan, Pakistan
| | - Mohammed Ageeli Hakami
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al-Quwayiyah, Shaqra University, Riyadh, Saudi Arabia
| | - Bader S. Alotaibi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Al-Quwayiyah, Shaqra University, Riyadh, Saudi Arabia
| | - Muhammad Umair
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, Pakistan
| | - Ashraf N. Abdalla
- Department of Pharmacology and Toxicology, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Ping Li
- Institute of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Pei He
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Abdul Wadood
- Department of Biochemistry, Computational Medicinal Chemistry Laboratory, Abdul Wali Khan University, Mardan, Pakistan
| | - Junjian Hu
- Department of Central Laboratory, SSL Central Hospital of Dongguan City, Affiliated Dongguan Shilong People’s Hospital of Southern Medical University, Dongguan, China
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Hussain Z, Hayat C, Shahab M, Sikandar R, Zheng G, Bibi H, Liang C, Kamil A. Immunoinformatics and Reverse Vaccinology Driven Predication of a Multi-Epitope Vaccine Against Borrelia burgdorferi and Validation Through in silico Cloning and Immune Simulation. Curr Pharm Des 2023:CPD-EPUB-131072. [PMID: 37073655 DOI: 10.2174/1381612829666230418104520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 02/23/2023] [Accepted: 03/07/2023] [Indexed: 04/20/2023]
Abstract
Borrelia burgdorferi is regarded as an extremely dangerous bacteria causing infectious disease in humans, resulting in musculoskeletal pain, fatigue, fever and cardiac symptom. Because of all alarming concerns, no such prophylaxis setup has been available against Borrelia burgdorferi till now. In fact, vaccine construction using traditional methods is so expensive and time-consuming. Therefore, considering all concerns, we designed a multi-epitope-based vaccine design against Borrelia burgdorferi using in silico approaches. METHOD The present study utilized different computational methodologies, covering different ideas and elements in bioinformatics tools. The protein sequence of Borrelia burgdorferi was retrieved from the NCBI database. Different B and T cell epitopes were predicated using the IEDB tool. Efficient B and T cell epitopes were further assessed for vaccine construction using linkers AAY, EAAAK and GPGPG, respectively. Furthermore, the tertiary structure of constructed vaccine was predicated, and its interaction was determined with TLR9 using ClusPro software. In addition, further atomic level detail of docked complex and their immune response were further determined by MD simulation and C-ImmSim tool, respectively. RESULT A protein with immunogenic potential and good vaccine properties (candidate) was identified based on high binding scores, low percentile rank, non-allergenicity and good immunological properties, which were further used to calculate epitopes. Additionally, molecular docking possesses strong interaction; seventeen H- bonds interactions were reported, such as THR101-GLU264, THR185-THR270, ARG 257-ASP210, ARG 257-ASP 210, ASP259-LYS 174, ASN263-GLU237, CYS 265- GLU 233, CYS 265-TYR 197, GLU267-THR202, GLN 270- THR202, TYR345-ASP 210, TYR345-THR 213, ARG 346-ASN209, SER350-GLU141, SER350-GLU141, ASP 424-ARG220 and ARG426-THR216 with TLR-9. Finally, high expression was determined in E. coli (CAI = (0.9045), and GC content = (72%). Using the IMOD server, all-atom MD simulations of docked complex affirmed its significant stability. The outcomes of immune simulation indicate that both T and B cells represent a strong response to the vaccination component. CONCLUSION This type of in-silico technique may precisely decrease valuable time and expenses in vaccine designing against Borrelia burgdorferi for experimental planning in laboratories. Currently, scientists frequently utilize bioinformatics approaches that speed up their vaccine-based lab work.
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Affiliation(s)
| | - Chandni Hayat
- Abdul Wali Khan University Mardan Biochemistry Mardan Pakistan
| | - Muhammad Shahab
- Beijing University of Chemical Technology State key laboratories of chemical Resources Engineering Beijing China
| | - Ramin Sikandar
- Abdul Wali Khan University Mardan Chemistry Mardan Pakistan
| | - Guojun Zheng
- Beijing University of Chemical Technology State key laboratories of chemical Resources Engineering Beijing China
| | - Haleema Bibi
- Abdul Wali Khan University Mardan Chemistry Mardan Pakistan
| | - Chaoqun Liang
- Beijing University of Chemical Technology State key laboratories of chemical Resources Engineering Beijing China
| | - Atif Kamil
- Abdul Wali Khan University Mardan Biotechanology Mardan Pakistan
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Akter S, Shahab M, Sarkar MMH, Hayat C, Banu TA, Goswami B, Jahan I, Osman E, Uzzaman MS, Habib MA, Shaikh AA, Khan MS. Immunoinformatics approach to epitope-based vaccine design against the SARS-CoV-2 in Bangladeshi patients. J Genet Eng Biotechnol 2022; 20:136. [PMID: 36125645 PMCID: PMC9487853 DOI: 10.1186/s43141-022-00410-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/25/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the ongoing coronavirus disease 2019 (COVID-19) pandemic which has brought a great challenge to public health. After the first emergence of novel coronavirus SARS-CoV-2 in the city of Wuhan, China, in December 2019. As of March 2020, SARS-CoV-2 was first reported in Bangladesh and since then the country has experienced a steady rise in infections, resulting in 13,355,191 cases and 29,024 deaths as of 27 February 2022. Bioinformatics techniques are used to predict B cell and T cell epitopes from the new SARS-CoV-2 spike glycoprotein in order to build a unique multiple epitope vaccine. The immunogenicity, antigenicity scores, and toxicity of these epitopes were evaluated and chosen based on their capacity to elicit an immune response. RESULT The best multi-epitope of the possible immunogenic property was created by combining epitopes. EAAAK, AAY, and GPGPG linkers were used to connect the epitopes. In several computer-based immune response analyses, this vaccine design was found to be efficient, as well as having high population coverage. CONCLUSION This research is entirely reliant on the development of epitope-based vaccines, and these in silico findings would represent a major step forward in the development of a vaccine that might eradicate SARS-CoV-2 in Bangladeshi patients.
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Affiliation(s)
- Shahina Akter
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Muhammad Shahab
- State Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | | | - Chandni Hayat
- Department of Biochemistry, Computational Medicinal Chemistry Laboratory, UCSS, Abdul Wali Khan University, Mardan, Pakistan
| | - Tanjina Akhtar Banu
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Barna Goswami
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Iffat Jahan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Eshrar Osman
- SciTech Consulting and Solutions, Dhaka, Bangladesh
| | | | - Md Ahashan Habib
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Aftab Ali Shaikh
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Md Salim Khan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh.
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Shahab M, Hayat C, Sikandar R, Zheng G, Akter S. In silico designing of a multi-epitope vaccine against Burkholderia pseudomallei: reverse vaccinology and immunoinformatics. J Genet Eng Biotechnol 2022; 20:100. [PMID: 35821357 PMCID: PMC9275536 DOI: 10.1186/s43141-022-00379-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/14/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Burkholderia pseudomallei is an infectious agent causing severe disease melioidosis resulting in pneumonia, fever, and acute septicemia in humans. B. pseudomallei show resistance to drugs. No such FDA-approved vaccine is available against B. pseudomallei, and treatment is limited to therapy. Therefore, the scientific study was designed to develop a vaccine for B. pseudomallei. The protein sequence of B. pseudomallei was retrieved from NCBI. B-cell and T-cell epitopes were identified and further screened for allergenicity, antigenicity docking, and simulation. RESULTS Here, in this study, in silico approach was applied to design a multi-epitope subunit vaccine peptide consisting of linear B-cell and T-cell epitopes of proteins considered to be potential novel vaccine candidates. Peptide epitopes were joined by adjuvant and EAAAK, CPGPG, and AAY linkers. This constructed vaccine was subjected to in silico immune simulations by C-ImmSim. The protein construct was cloned into PET28a (+) vector for expression study in Escherichia coli using SnapGene. CONCLUSION The designed multi-epitope vaccine was analyzed for its physicochemical, structural, and immunological characteristics, and it was found to be antigenic, soluble, stable, nonallergenic, and have a high affinity to its target receptor. The immune simulation studies were carried out on the C-ImmSim showing increased production of cellular and humoral responses indicating that the constructed vaccine proved effective and able to provoke humoral and cell-mediated response immune responses. In silico study could be a breakthrough in designing effective vaccines to eradicate B. pseudomallei globally.
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Affiliation(s)
- Muhammad Shahab
- State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Chandni Hayat
- Department of Biochemistry, Computational Medicinal Chemistry Laboratory, UCSS, Abdul Wali Khan University, Mardan, Pakistan
| | - Ramin Sikandar
- Department of Biochemistry, Computational Medicinal Chemistry Laboratory, UCSS, Abdul Wali Khan University, Mardan, Pakistan
| | - Guojun Zheng
- State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
| | - Shahina Akter
- Bangladesh Council of Scientific and Industrial Research, Dhaka, 1205, Bangladesh.
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Akhtar M, Jamal T, Din JU, Hayat C, Rauf M, Ul Haq SM, Sher Khan R, Shah AA, Jamal M, Jalil F. An in silico approach to characterize nonsynonymous SNPs and regulatory SNPs in human TOX3 gene. J Genet 2019; 98:104. [PMID: 31819019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Cancer is one of the deadliest complex diseases having multigene nature where the role of single-nucleotide polymorphism (SNP) has been well explored in multiple genes. TOX high mobility group box family member 3 (TOX3) is one such gene, in which SNPs have been found to be associated with breast cancer. In this study, we have examined the potentially damaging nonsynonymous SNPs(nsSNPs) in TOX3 gene using in silico tools, namely PolyPhen2, SNP&GO, PhD-SNP and PROVEAN, which were further confirmed by I-Mutant, MutPred1.2 and ConSurf for their stability, functional and structural effects. nsSNPs rs368713418 (A266D), rs751141352 (P273S, P273T), rs200878352 (A275T) have been found to be the most deleterious that may have a vital role in breast cancer. Premature stop codon producing SNPs (Q527STOP), rs1259790811 (G495STOP), rs1294465822 (S395STOP) and rs1335372738 (G8STOP) were also found having prime importance in truncated and malfunctional protein formation. We also characterized regulatory SNPs for its potential effect on TOX3 gene regulation and found nine SNPs that may affect the gene regulation. Further, we have also designed 3D models using I-TASSER for the wild type and four mutant TOX3 proteins. Our study concludes that these SNPs can be of prime importance while studying breast cancer and other associated diseases as well. They are required to be studied in model organisms and cell cultures, and may have potential importance in personalized medicines and gene therapy.
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Affiliation(s)
- Mehran Akhtar
- Department of Biotechnology, Abdul Wali Khan University, Mardan 23200, Pakistan.
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