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Moin AT, Ullah MA, Patil RB, Faruqui NA, Araf Y, Das S, Uddin KMK, Hossain MS, Miah MF, Moni MA, Chowdhury DUS, Islam S. A computational approach to design a polyvalent vaccine against human respiratory syncytial virus. Sci Rep 2023; 13:9702. [PMID: 37322049 PMCID: PMC10272159 DOI: 10.1038/s41598-023-35309-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 05/16/2023] [Indexed: 06/17/2023] Open
Abstract
Human Respiratory Syncytial Virus (RSV) is one of the leading causes of lower respiratory tract infections (LRTI), responsible for infecting people from all age groups-a majority of which comprises infants and children. Primarily, severe RSV infections are accountable for multitudes of deaths worldwide, predominantly of children, every year. Despite several efforts to develop a vaccine against RSV as a potential countermeasure, there has been no approved or licensed vaccine available yet, to control the RSV infection effectively. Therefore, through the utilization of immunoinformatics tools, a computational approach was taken in this study, to design a multi-epitope polyvalent vaccine against two major antigenic subtypes of RSV, RSV-A and RSV-B. Potential predictions of the T-cell and B-cell epitopes were followed by extensive tests of antigenicity, allergenicity, toxicity, conservancy, homology to human proteome, transmembrane topology, and cytokine-inducing ability. The peptide vaccine was modeled, refined, and validated. Molecular docking analysis with specific Toll-like receptors (TLRs) revealed excellent interactions with suitable global binding energies. Additionally, molecular dynamics (MD) simulation ensured the stability of the docking interactions between the vaccine and TLRs. Mechanistic approaches to imitate and predict the potential immune response generated by the administration of vaccines were determined through immune simulations. Subsequent mass production of the vaccine peptide was evaluated; however, there remains a necessity for further in vitro and in vivo experiments to validate its efficacy against RSV infections.
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Affiliation(s)
- Abu Tayab Moin
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh.
| | - Md Asad Ullah
- Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, Bangladesh
| | - Rajesh B Patil
- Department of Pharmaceutical Chemistry, Sinhgad Technical Education Society's, Sinhgad College of Pharmacy, Pune, Maharashtra, India
| | - Nairita Ahsan Faruqui
- Biotechnology Program, Department of Mathematics and Natural Sciences, School of Data and Sciences, BRAC University, Dhaka, Bangladesh
| | - Yusha Araf
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Sowmen Das
- Department of Computer Science and Engineering, School of Physical Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Khaza Md Kapil Uddin
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh
| | - Md Shakhawat Hossain
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh
| | - Md Faruque Miah
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Mohammad Ali Moni
- Bone Biology Division, The Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- WHO Collaborating Centre on eHealth, UNSW Digital Health, School of Public Health and Community Medicine, Faculty of Medicine, UNSW Sydney, Sydney, Australia
- Artificial Intelligence and Data Science, Faculty of Health and Behavioural Sciences, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia
| | - Dil Umme Salma Chowdhury
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, Bangladesh.
| | - Saiful Islam
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Chattogram Laboratories, Chattogram, Bangladesh.
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Pu C, Huang Z, Huang L, Shen Q, Yu C. Label‐Free Fluorescence Turn‐On Detection of Histidine‐Tagged Proteins Based on Intramolecular Rigidification Induced Emission. ChemistrySelect 2023. [DOI: 10.1002/slct.202204406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Affiliation(s)
- Chibin Pu
- Department of Gastroenterology Zhongda Hospital School of Medicine Southeast University 87 Dingjiaqiao Road 210009 Nanjing P. R. China
| | - Zhongxi Huang
- Key Laboratory of Flexible Electronics (KLOFE) & School of Flexible Electronics (Future Technologies) (SoFE) Nanjing Tech University 30 South Puzhu Road 211816 Nanjing P. R. China
| | - Lihua Huang
- Key Laboratory of Flexible Electronics (KLOFE) & School of Flexible Electronics (Future Technologies) (SoFE) Nanjing Tech University 30 South Puzhu Road 211816 Nanjing P. R. China
| | - Qian Shen
- Key Laboratory of Flexible Electronics (KLOFE) & School of Flexible Electronics (Future Technologies) (SoFE) Nanjing Tech University 30 South Puzhu Road 211816 Nanjing P. R. China
| | - Changmin Yu
- Key Laboratory of Flexible Electronics (KLOFE) & School of Flexible Electronics (Future Technologies) (SoFE) Nanjing Tech University 30 South Puzhu Road 211816 Nanjing P. R. China
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Tian W, Gao X, Zhang J, Yu J, Zhang J. Cellulose nanosphere: Preparation and applications of the novel nanocellulose. Carbohydr Polym 2022; 277:118863. [PMID: 34893268 DOI: 10.1016/j.carbpol.2021.118863] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/18/2021] [Accepted: 11/03/2021] [Indexed: 11/25/2022]
Abstract
Over the past few years, cellulose nanosphere (CNS) has gained growing attention and rapid development. As a new type of nanocellulose materials, CNS can be prepared from native cellulose by using methods which have been adopted extensively to prepare the well-known nanocelluloses, i.e., cellulose nanofiber and cellulose nanocrystal. The particular interest is that the regenerated cellulose and mercerized cellulose can also be used as important feedstocks to produce CNS. In this review, the preparation methods of CNS are described and discussed, via both top-down processes, including chemical, mechanical, and enzymolysis ones, and bottom-up processes by using various cellulose I and II starting materials. This review also highlights the researches relative to cellulose composite nanospheres, and summarizes the applications of spherical cellulose-based nanoparticles. Finally, the future challenges and opportunities of CNS are prospected in this work.
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Affiliation(s)
- Weiguo Tian
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Engineering Plastics, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, China
| | - Xuexin Gao
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Engineering Plastics, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinming Zhang
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Engineering Plastics, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, China
| | - Jian Yu
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Engineering Plastics, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, China.
| | - Jun Zhang
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Engineering Plastics, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Raza MT, Mizan S, Yasmin F, Akash AS, Shahik SM. Epitope-based universal vaccine for Human T-lymphotropic virus-1 (HTLV-1). PLoS One 2021; 16:e0248001. [PMID: 33798232 PMCID: PMC8018625 DOI: 10.1371/journal.pone.0248001] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/17/2021] [Indexed: 12/26/2022] Open
Abstract
Human T-cell leukemia virus type 1 (HTLV-1) was the first oncogenic human retrovirus identified in humans which infects at least 10-15 million people worldwide. Large HTLV-1 endemic areas exist in Southern Japan, the Caribbean, Central and South America, the Middle East, Melanesia, and equatorial regions of Africa. HTLV-1 TAX viral protein is thought to play a critical role in HTLV-1 associated diseases. We have used numerous bio-informatics and immuno-informatics implements comprising sequence and construction tools for the construction of a 3D model and epitope prediction for HTLV-1 Tax viral protein. The conformational linear B-cell and T-cell epitopes for HTLV-1 TAX viral protein have been predicted for their possible collective use as vaccine candidates. Based on in silico investigation two B cell epitopes, KEADDNDHEPQISPGGLEPPSEKHFR and DGTPMISGPCPKDGQPS spanning from 324-349 and 252-268 respectively; and T cell epitopes, LLFGYPVYV, ITWPLLPHV and GLLPFHSTL ranging from 11-19, 163-171 and 233-241 were found most antigenic and immunogenic epitopes. Among different vaccine constructs generated by different combinations of these epitopes our predicted vaccine construct was found to be most antigenic with a score of 0.57. T cell epitopes interacted strongly with HLA-A*0201 suggesting a significant immune response evoked by these epitopes. Molecular docking study also showed a high binding affinity of the vaccine construct for TLR4. The study was carried out to predict antigenic determinants of the Tax protein along with the 3D protein modeling. The study revealed a potential multi epitope vaccine that can raise the desired immune response against HTLV-1 and be useful in developing effective vaccines against Human T-lymphotropic virus.
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Affiliation(s)
- Md. Thosif Raza
- Faculty of Biological Sciences, Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
| | - Shagufta Mizan
- Faculty of Biological Sciences, Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
| | - Farhana Yasmin
- Faculty of Biological Sciences, Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
| | - Al-Shahriar Akash
- Faculty of Biological Sciences, Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh
| | - Shah Md. Shahik
- Bioinformatics Division, Disease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh
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Hossain MS, Hossan MI, Mizan S, Moin AT, Yasmin F, Akash AS, Powshi SN, Hasan AR, Chowdhury AS. Immunoinformatics approach to designing a multi-epitope vaccine against Saint Louis Encephalitis Virus. INFORMATICS IN MEDICINE UNLOCKED 2021. [DOI: 10.1016/j.imu.2020.100500] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
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Choi ES, Al Faruque H, Kim JH, Cho JH, Park KM, Kim E. Immunochromatographic assay to detect α-tubulin in urine for the diagnosis of kidney injury. J Clin Lab Anal 2019; 34:e23015. [PMID: 31423640 PMCID: PMC6977356 DOI: 10.1002/jcla.23015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 08/01/2019] [Accepted: 08/05/2019] [Indexed: 12/17/2022] Open
Abstract
Backgrounds Shortening of primary cilia in kidney epithelial cells is associated with kidney injury and involved with the induced level of α‐tubulin in urine. Therefore, rapid detection and quantification of α‐tubulin in the urine samples could be used to the preliminary diagnosis of kidney injury. Methods Cellulose‐based nanobeads modified with α‐tubulin were used for the detection probe of competitive immunochromatographic (IC) assay. The concentration of α‐tubulin in the urine samples was determined by IC assay and compared with the amount determined by Western blotting analysis. Results The relationship between α‐tubulin concentration and the colorimetric intensity resulted from IC assay was determined by logistic regression, and the correlation coefficient (R2) was 0.9948. When compared to the amount determined by Western blotting analysis, there was a linear relationship between the α‐tubulin concentrations measured by the two methods and the R2 value was 0.823. Conclusions This method is simple, rapid, and adequately sensitive to detect α‐tubulin in patient urine samples, which could be used for the clinical diagnosis of kidney injury.
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Affiliation(s)
- Eun-Sook Choi
- Companion Diagnostics and Medical Technology Research Group, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
| | - Hasan Al Faruque
- Companion Diagnostics and Medical Technology Research Group, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
| | - Jung-Hee Kim
- Companion Diagnostics and Medical Technology Research Group, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
| | - Jang-Hee Cho
- Department of Internal Medicine, Kyungpook National University Hospital, Daegu, Korea
| | - Kwon Moo Park
- Department of Anatomy, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Eunjoo Kim
- Companion Diagnostics and Medical Technology Research Group, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
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