Background: In tremendously effective antiretroviral therapy for Human Immunodeficiency Virus 1 (HIV1) infections, integrase inhibitors are essential drugs. Resistance resulting from mutations, on the other hand, poses a threat to the medication’s long-term efficacy in HIV-1 infected people. Purpose: The current study utilized in silico techniques, we searched for phytochemicals or compounds that can inhibit the activity of the integrase enzyme. Material & Methods: Compounds were collected from databases, and potential candidates were screened using pharmacokinetics and structure-based virtual screening methodologies. The compounds were docked, and the binding affinity was evaluated to set the cut-off value for selecting compounds. When compared to standard drugs, some compounds had a higher binding affinity. Molecular dynamics simulation was then used to gain insight into the stability of the complexes, revealing two lead compounds, Withaferin and Isatin, indicating that these compounds have potency for drug development. These compounds were further investigated for their toxicity, indicating that Isatin was safe among the two. Conclusion: Thus, the study showcased that Isatin is a suitable drug candidate, and we hope that the findings of this study will be useful in the development of an antiviral drug against integrase enzyme.
Published in | Computational Biology and Bioinformatics (Volume 10, Issue 1) |
DOI | 10.11648/j.cbb.20221001.16 |
Page(s) | 34-48 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Human Immunodeficiency Virus 1 (HIV1), Integrase, Molecular Docking, Molecular Dynamic Simulation
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APA Style
Vikas Jha, Navdeep Kaur, Kabir Thakur, Vrushali Dhamapurkar, Prakruti Kapadia, et al. (2022). Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of Integrase from Human Immunodeficiency Virus 1 (HIV-1) Using Phytochemicals. Computational Biology and Bioinformatics, 10(1), 34-48. https://doi.org/10.11648/j.cbb.20221001.16
ACS Style
Vikas Jha; Navdeep Kaur; Kabir Thakur; Vrushali Dhamapurkar; Prakruti Kapadia, et al. Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of Integrase from Human Immunodeficiency Virus 1 (HIV-1) Using Phytochemicals. Comput. Biol. Bioinform. 2022, 10(1), 34-48. doi: 10.11648/j.cbb.20221001.16
AMA Style
Vikas Jha, Navdeep Kaur, Kabir Thakur, Vrushali Dhamapurkar, Prakruti Kapadia, et al. Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of Integrase from Human Immunodeficiency Virus 1 (HIV-1) Using Phytochemicals. Comput Biol Bioinform. 2022;10(1):34-48. doi: 10.11648/j.cbb.20221001.16
@article{10.11648/j.cbb.20221001.16, author = {Vikas Jha and Navdeep Kaur and Kabir Thakur and Vrushali Dhamapurkar and Prakruti Kapadia and Shraddha Tiwari and Aparna Sahu and Divya Nikumb and Abhishek Kumar and Shruti Narvekar}, title = {Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of Integrase from Human Immunodeficiency Virus 1 (HIV-1) Using Phytochemicals}, journal = {Computational Biology and Bioinformatics}, volume = {10}, number = {1}, pages = {34-48}, doi = {10.11648/j.cbb.20221001.16}, url = {https://doi.org/10.11648/j.cbb.20221001.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20221001.16}, abstract = {Background: In tremendously effective antiretroviral therapy for Human Immunodeficiency Virus 1 (HIV1) infections, integrase inhibitors are essential drugs. Resistance resulting from mutations, on the other hand, poses a threat to the medication’s long-term efficacy in HIV-1 infected people. Purpose: The current study utilized in silico techniques, we searched for phytochemicals or compounds that can inhibit the activity of the integrase enzyme. Material & Methods: Compounds were collected from databases, and potential candidates were screened using pharmacokinetics and structure-based virtual screening methodologies. The compounds were docked, and the binding affinity was evaluated to set the cut-off value for selecting compounds. When compared to standard drugs, some compounds had a higher binding affinity. Molecular dynamics simulation was then used to gain insight into the stability of the complexes, revealing two lead compounds, Withaferin and Isatin, indicating that these compounds have potency for drug development. These compounds were further investigated for their toxicity, indicating that Isatin was safe among the two. Conclusion: Thus, the study showcased that Isatin is a suitable drug candidate, and we hope that the findings of this study will be useful in the development of an antiviral drug against integrase enzyme.}, year = {2022} }
TY - JOUR T1 - Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of Integrase from Human Immunodeficiency Virus 1 (HIV-1) Using Phytochemicals AU - Vikas Jha AU - Navdeep Kaur AU - Kabir Thakur AU - Vrushali Dhamapurkar AU - Prakruti Kapadia AU - Shraddha Tiwari AU - Aparna Sahu AU - Divya Nikumb AU - Abhishek Kumar AU - Shruti Narvekar Y1 - 2022/06/30 PY - 2022 N1 - https://doi.org/10.11648/j.cbb.20221001.16 DO - 10.11648/j.cbb.20221001.16 T2 - Computational Biology and Bioinformatics JF - Computational Biology and Bioinformatics JO - Computational Biology and Bioinformatics SP - 34 EP - 48 PB - Science Publishing Group SN - 2330-8281 UR - https://doi.org/10.11648/j.cbb.20221001.16 AB - Background: In tremendously effective antiretroviral therapy for Human Immunodeficiency Virus 1 (HIV1) infections, integrase inhibitors are essential drugs. Resistance resulting from mutations, on the other hand, poses a threat to the medication’s long-term efficacy in HIV-1 infected people. Purpose: The current study utilized in silico techniques, we searched for phytochemicals or compounds that can inhibit the activity of the integrase enzyme. Material & Methods: Compounds were collected from databases, and potential candidates were screened using pharmacokinetics and structure-based virtual screening methodologies. The compounds were docked, and the binding affinity was evaluated to set the cut-off value for selecting compounds. When compared to standard drugs, some compounds had a higher binding affinity. Molecular dynamics simulation was then used to gain insight into the stability of the complexes, revealing two lead compounds, Withaferin and Isatin, indicating that these compounds have potency for drug development. These compounds were further investigated for their toxicity, indicating that Isatin was safe among the two. Conclusion: Thus, the study showcased that Isatin is a suitable drug candidate, and we hope that the findings of this study will be useful in the development of an antiviral drug against integrase enzyme. VL - 10 IS - 1 ER -