5 results on '"Vanmathi, S. M."'
Search Results
2. Reverse engineering protection : A comprehensive survey of reverse vaccinology-based vaccines targeting viral pathogens
- Author
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Ponne, Saravanaraman, Kumar, Rajender, Vanmathi, S. M., Brilhante, Raimunda Samia Nogueira, Kumar, Chinnadurai Raj, Ponne, Saravanaraman, Kumar, Rajender, Vanmathi, S. M., Brilhante, Raimunda Samia Nogueira, and Kumar, Chinnadurai Raj
- Abstract
Vaccines have significantly reduced the impact of numerous deadly viral infections. However, there is an increasing need to expedite vaccine development in light of the recurrent pandemics and epidemics. Also, identifying vaccines against certain viruses is challenging due to various factors, notably the inability to culture certain viruses in cell cultures and the wide-ranging diversity of MHC profiles in humans. Fortunately, reverse vaccinology (RV) efficiently overcomes these limitations and has simplified the identification of epitopes from antigenic proteins across the entire proteome, streamlining the vaccine development process. Furthermore, it enables the creation of multiepitope vaccines that can effectively account for the variations in MHC profiles within the human population. The RV approach offers numerous advantages in developing precise and effective vaccines against viral pathogens, including extensive proteome coverage, accurate epitope identification, crossprotection capabilities, and MHC compatibility. With the introduction of RV, there is a growing emphasis among researchers on creating multiepitope-based vaccines aiming to stimulate the host's immune responses against multiple serotypes, as opposed to single-component monovalent alternatives. Regardless of how promising the RV-based vaccine candidates may appear, they must undergo experimental validation to probe their protection efficacy for real-world applications. The time, effort, and resources allocated to the laborious epitope identification process can now be redirected toward validating vaccine candidates identified through the RV approach. However, to overcome failures in the RV-based approach, efforts must be made to incorporate immunological principles and consider targeting the epitope regions involved in disease pathogenesis, immune responses, and neutralizing antibody maturation. Integrating multi-omics and incorporating artificial intelligence and machine learning-based tools and, QC 20240604
- Published
- 2024
- Full Text
- View/download PDF
3. ORAL DELIVERY OF PEPTIDE AND PROTEIN THERAPEUTICS: CHALLENGES AND STRATEGIES.
- Author
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Vishvakarma, Prabhakar, Kumari, Raman, Vanmathi, S. M., Korni, Rama Devi, Bhattacharya, Vijeta, Jesudasan, Rajesh E., and Mandal, Suraj
- Subjects
PEPTIDES ,TECHNOLOGICAL innovations ,PATIENT compliance ,TIGHT junctions ,OCCLUDINS ,PATIENT safety - Abstract
This review explores the challenges and strategies in oral delivery of peptide and protein therapeutics. Physiological barriers such as the gastrointestinal tract, enzymatic degradation, poor permeability and proteolytic environment hinder effective delivery. Formulation approaches including bioavailability enhancement, mucoadhesive systems, nanoparticle-based, lipid-based, and polymer-based delivery systems have shown promise in improving solubility, stability, and permeability. Innovative technologies like nanotechnology-based delivery, targeted approaches, drug-device combinations, and bioadhesive/mucoadhesive technologies offer new avenues for overcoming challenges. Strategies to combat enzymatic degradation involve protease inhibitors, enzyme-resistant formulations, chemical modifications, and encapsulation strategies. Enhancing permeability across the intestinal epithelium can be achieved through absorption enhancers, carrier-mediated transport systems, tight junction modulators, and nanotechnology-based approaches. Preclinical and clinical studies provide insights into oral delivery efficacy, safety and patient acceptance. Future directions include advances in delivery, emerging technologies, regulatory considerations and patient compliance. This review offers a comprehensive overview for researchers and clinicians in the field. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Preterm Birth Facts: A Review
- Author
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Vanmathi. S. M, Monitha Star. M, Sambath Kumar. R, and Venkateswaramurthy. N
- Subjects
medicine.medical_specialty ,business.industry ,Obstetrics ,Adolescent pregnant ,Early detection ,Gestation period ,Low birth weight ,Intervention (counseling) ,Medicine ,Gestation ,Pharmacology (medical) ,Major complication ,medicine.symptom ,business ,Pharmacology, Toxicology and Pharmaceutics (miscellaneous) ,Cause of death - Abstract
Preterm birth is the major complication in neonatal health care that cause death in newborns and also it is the second foremost cause of death in children. It is one of the important complications of neurological disability and impairment. Preterm babies are born before completion of 37 weeks of gestation, instead they born by 32 gestational week. This has several reasons; most preterm birth not only affects the newborns but also family members, to give care for preterm infants. This initiates how they spend several months in hospital and has increasing price for health services. It is estimated worldwide that 11.1% of all live births were born preterm in 2010 (14.9 million babies were born before 37 week of gestation), there is an increasing rate in almost countries with reasonable trend data with preterm. This review had discussed about the majority of factors behind the preterm birth in India. This review may help to prevent the preterm birth by early detection, appropriate intervention, screening for the risk, providing antenatal care, educating the teenage or adolescent pregnant women.
- Published
- 2019
- Full Text
- View/download PDF
5. Reverse engineering protection: A comprehensive survey of reverse vaccinology-based vaccines targeting viral pathogens.
- Author
-
Ponne S, Kumar R, Vanmathi SM, Brilhante RSN, and Kumar CR
- Subjects
- Humans, Proteome, Vaccinology methods, Epitopes, Computational Biology methods, Vaccines, Subunit, Epitopes, T-Lymphocyte, Molecular Docking Simulation, Epitopes, B-Lymphocyte, Artificial Intelligence, Vaccines
- Abstract
Vaccines have significantly reduced the impact of numerous deadly viral infections. However, there is an increasing need to expedite vaccine development in light of the recurrent pandemics and epidemics. Also, identifying vaccines against certain viruses is challenging due to various factors, notably the inability to culture certain viruses in cell cultures and the wide-ranging diversity of MHC profiles in humans. Fortunately, reverse vaccinology (RV) efficiently overcomes these limitations and has simplified the identification of epitopes from antigenic proteins across the entire proteome, streamlining the vaccine development process. Furthermore, it enables the creation of multiepitope vaccines that can effectively account for the variations in MHC profiles within the human population. The RV approach offers numerous advantages in developing precise and effective vaccines against viral pathogens, including extensive proteome coverage, accurate epitope identification, cross-protection capabilities, and MHC compatibility. With the introduction of RV, there is a growing emphasis among researchers on creating multiepitope-based vaccines aiming to stimulate the host's immune responses against multiple serotypes, as opposed to single-component monovalent alternatives. Regardless of how promising the RV-based vaccine candidates may appear, they must undergo experimental validation to probe their protection efficacy for real-world applications. The time, effort, and resources allocated to the laborious epitope identification process can now be redirected toward validating vaccine candidates identified through the RV approach. However, to overcome failures in the RV-based approach, efforts must be made to incorporate immunological principles and consider targeting the epitope regions involved in disease pathogenesis, immune responses, and neutralizing antibody maturation. Integrating multi-omics and incorporating artificial intelligence and machine learning-based tools and techniques in RV would increase the chances of developing an effective vaccine. This review thoroughly explains the RV approach, ideal RV-based vaccine construct components, RV-based vaccines designed to combat viral pathogens, its challenges, and future perspectives., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
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