Literature DB >> 24694004

Molecular modeling studies and comparative analysis on structurally similar HTLV and HIV protease using HIV-PR inhibitors.

Chandrabose Selvaraj1, Poonam Singh, Sanjeev Kumar Singh.   

Abstract

Retroviruses are most perilous viral family, which cause much damage to the Homo sapiens. HTLV-1 mechanism found to more similar with HIV-1 and both retroviruses are causative agents of severe and fatal diseases including adult T-cell leukemia (ATL) and the acquired immune deficiency syndrome (AIDS). Both viruses code for a protease (PR) that is essential for replication and therefore represents a key target for drugs interfering with viral infection. In this work, the comparative study of HIV-1 and HTLV-1 PR enzymes through sequence and structural analysis is reported along with approved drugs of HIV-PR. Conformation of each HIV PR drugs have been examined with different parameters of interactions and energy scorings parameters. MD simulations with respect to timescale event of 20 ns favors that, few HIV-PR inhibitors can be more active inside the HTLV-1 PR binding pocket. Overall results suggest that, some of HIV inhibitors like Tipranavir, Indinavir, Darunavir and Amprenavir are having good energy levels with HTLV-1. Due to absence of interactions with MET37, here we report that derivatives of these compounds can be much better inhibitors for targeting HTLV-1 proteolytic activity.

Entities:  

Keywords:  Binding energy; HIV-1; HTLV-1; QPLD; interaction energy; protease

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Substances:

Year:  2014        PMID: 24694004     DOI: 10.3109/10799893.2014.898659

Source DB:  PubMed          Journal:  J Recept Signal Transduct Res        ISSN: 1079-9893            Impact factor:   2.092


  3 in total

1.  Biochemical Characterization, Specificity and Inhibition Studies of HTLV-1, HTLV-2, and HTLV-3 Proteases.

Authors:  Norbert Kassay; János András Mótyán; Krisztina Matúz; Mária Golda; József Tőzsér
Journal:  Life (Basel)       Date:  2021-02-06

2.  Interrogation of Bacillus anthracis SrtA active site loop forming open/close lid conformations through extensive MD simulations for understanding binding selectivity of SrtA inhibitors.

Authors:  Chandrabose Selvaraj; Gurudeeban Selvaraj; Randa Mohamed Ismail; Rajendran Vijayakumar; Alaa Baazeem; Dong-Qing Wei; Sanjeev Kumar Singh
Journal:  Saudi J Biol Sci       Date:  2021-05-08       Impact factor: 4.219

3.  High-Throughput Screening and Quantum Mechanics for Identifying Potent Inhibitors Against Mac1 Domain of SARS-CoV-2 Nsp3.

Authors:  Chandrabose Selvaraj; Dhurvas Chandrasekaran Dinesh; Umesh Panwar; Evzen Boura; Sanjeev Kumar Singh
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2021-08-06       Impact factor: 3.702

  3 in total

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