Biotechnology-based therapeutics

Abinaya, Ravichandran Vijaya; Viswanathan, Pragasam

doi:10.1016/b978-0-12-821972-0.00019-8

Cited by 13 publications

(10 citation statements)

References 68 publications

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“…An innate antimicrobial peptide, hBD-3 was used as an adjuvant during the construction of the vaccine. An adjuvant is considered crucial for designing a subunit vaccine because it improves the traits of antigenicity, immunogenicity, durability, and longevity of the subunit vaccine [154]. The hBD-3 was chosen as it could potentially induce TLR-dependent expression of the co-stimulatory molecules - CD80, CD86, and CD40 on the surface of monocytes and myeloid dendritic cells [155].…”

Section: Discussionmentioning

confidence: 99%

Exploring different virulent proteins of human respiratory syncytial virus for designing a novel epitope-based polyvalent vaccine: Immunoinformatics and molecular dynamics approaches

Moin

Ullah

Patil

et al. 2022

Preprint

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Human Respiratory Syncytial Virus (RSV) is one of the most prominent causes of lower respiratory tract infections (LRTI), contributory to infecting people from all age groups - a majority of which comprises infants and children. The implicated severe RSV infections lead to numerous deaths of multitudes of the overall population, predominantly the children, every year. Consequently, despite several distinctive efforts to develop a vaccine against the RSV as a potential countermeasure, there is 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 and construct a multi-epitope polyvalent vaccine against the RSV-A and RSV-B strains of the virus. 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 most promising epitopes (i.e. 13 CTL epitopes, 9 HTL epitopes, and 10 LBL epitopes) exhibiting full conservancy were then selected for designing the peptide fusion with appropriate linkers, having hBD-3 as the adjuvant. The peptide vaccine was modeled, refined, and validated to further improve the structural attributes. Following this, molecular docking analysis with specific TLRs was carried out which revealed excellent interactions and global binding energies. Additionally, molecular dynamics (MD) simulation was conducted which ensured the stability of the interactions between vaccine and TLR. Furthermore, mechanistic approaches to imitate and predict the potential immune response generated by the administration of vaccines were determined through immune simulations. Owing to an overall evaluation, in silico cloning was carried out in efforts to generate recombinant pETite plasmid vectors for subsequent mass production of the vaccine peptide, incorporated within E.coli . However, more in vitro and in vivo experiments can further validate its efficacy against RSV infections.

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Section: Discussionmentioning

confidence: 99%

Exploring different virulent proteins of human respiratory syncytial virus for designing a novel epitope-based polyvalent vaccine: Immunoinformatics and molecular dynamics approaches

Moin

Ullah

Patil

et al. 2022

Preprint

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“…By blocking the active sites of selected molecules, it is also possible to indirectly stimulate the process, e.g., through blocking the inhibitor of that process [ 7 ]. The method shown in the paper is general enough also in the case when stimulation is straightforward, as is in the case of recombinant proteins [ 53 ]. The only difference from the case studies shown in the Results section would be in the distribution used for sampling

values that should be the amplification factor.…”

Section: Methodsmentioning

confidence: 99%

Application of Sensitivity Analysis to Discover Potential Molecular Drug Targets

Kardyńska

Śmieja

Paszek

et al. 2022

IJMS

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Mathematical modeling of signaling pathways and regulatory networks has been supporting experimental research for some time now. Sensitivity analysis, aimed at finding model parameters whose changes yield significantly altered cellular responses, is an important part of modeling work. However, sensitivity methods are often directly transplanted from analysis of technical systems, and thus, they may not serve the purposes of analysis of biological systems. This paper presents a novel sensitivity analysis method that is particularly suited to the task of searching for potential molecular drug targets in signaling pathways. Using two sample models of pathways, p53/Mdm2 regulatory module and IFN-β-induced JAK/STAT signaling pathway, we show that the method leads to biologically relevant conclusions, identifying processes suitable for targeted pharmacological inhibition, represented by the reduction of kinetic parameter values. That, in turn, facilitates subsequent search for active drug components.

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“…Examples of biotechnological innovations in healthcare include personalized medicine, gene therapy, regenerative medicine, targeted drug delivery systems, and advanced diagnostic imaging techniques. These innovations have the potential to revolutionize healthcare by providing more effective, precise, and tailored solutions to medical challenges, minimizing side effects [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Perceptions of the Portuguese Population on the Economic Impacts of Biotechnology-Based Technologies

Vicente,

Neves,

Figueiredo

2024

Sustainability

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Biotechnology-based technologies have the potential to act as catalysts for economic development by fostering innovation, creating new job opportunities, stimulating industry growth, and promoting environmental sustainability. This study aims to evaluate the perceptions of the Portuguese population regarding the economic impacts of using these technologies in areas such as the environment, energy resources, agriculture, industry, and health. For this purpose, a questionnaire was developed and distributed in Portugal to a sample consisting of 559 individuals of both genders, aged between 16 and 82 years old. The findings suggest that, although there is a higher perception of the economic impact of these technologies, participants reveal difficulties in perceiving impacts on health, industry, and energy resources. Moreover, metrics for quantifying participants’ overall perception and improvement potential are provided. These metrics are particularly important as they enable the formation of participant groups with similar characteristics, facilitating the development of tailored intervention strategies. Additionally, a model based on artificial neural networks was presented to predict the perceptions of the Portuguese population regarding the economic impacts of using the mentioned technologies. The proposed model performs well, achieving accuracy rates of 93.0% for the training set and 90.9% for the test set.

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Biotechnology-based therapeutics

Cited by 13 publications

References 68 publications

Exploring different virulent proteins of human respiratory syncytial virus for designing a novel epitope-based polyvalent vaccine: Immunoinformatics and molecular dynamics approaches

Exploring different virulent proteins of human respiratory syncytial virus for designing a novel epitope-based polyvalent vaccine: Immunoinformatics and molecular dynamics approaches

Application of Sensitivity Analysis to Discover Potential Molecular Drug Targets

Evaluating the Perceptions of the Portuguese Population on the Economic Impacts of Biotechnology-Based Technologies

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