Genetic functional algorithm model, docking studies and in silico design of novel proposed compounds against Mycobacterium tuberculosis. Issue 1 (1st January 2020)
- Record Type:
- Journal Article
- Title:
- Genetic functional algorithm model, docking studies and in silico design of novel proposed compounds against Mycobacterium tuberculosis. Issue 1 (1st January 2020)
- Main Title:
- Genetic functional algorithm model, docking studies and in silico design of novel proposed compounds against Mycobacterium tuberculosis
- Authors:
- Adeniji, Shola Elijah
- Abstract:
- ABSTRACT: Tuberculosis still persist a major challenge to healthcare system around the world. Increasing rates of morbidity, mortality and the reoccurrence of the resistant strains of the disease to accessible drugs/medications have made it crucial to search for a new therapy in term of novel and prominent hypothetical compound treat tuberculosis. Therefore, Quantitative Structure-Activity Relationship (QSAR) was employed as a modelling technique to predict and design new compounds with improved and efficient biological activities against Mycobacterium tuberculosis . To accomplish the purpose of this work, Genetic function approximation was adopted to derive the model. The established model was swayed with topological descriptors; MATS9s, SM1_DzZ, SpMin4_Bhv, TDB2v and RDF70v.More also, interactions between the compounds and the target protein ''DNA gyrase'' indicated that compound 20 has the most perceptible binding affinity of -18.12kcal/mol. Consequently, compound 20 served as a reference structural template and insight to design fourteen novel hypothetical agents with more prominent anti-tubercular activities. More also, compound 20j was observed with high activity among the designed compounds with more a prominent binding affinities of -24.3 kcal/mol. Therefore this research recommends in- vivo, in- vitro screening and pharmacokinetic properties to be carried out in order to determine the toxicity of the designed compounds.
- Is Part Of:
- Egyptian journal of basic and applied sciences. Volume 7:Issue 1(2020)
- Journal:
- Egyptian journal of basic and applied sciences
- Issue:
- Volume 7:Issue 1(2020)
- Issue Display:
- Volume 7, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 7
- Issue:
- 1
- Issue Sort Value:
- 2020-0007-0001-0000
- Page Start:
- 292
- Page End:
- 314
- Publication Date:
- 2020-01-01
- Subjects:
- Binding affinity -- descriptors -- DNA gyrase -- QSAR -- tuberculosis
Science -- Periodicals
Technology -- Periodicals
Technology
Science
Science
Electronic journals
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Periodical
505 - Journal URLs:
- https://www.tandfonline.com/toc/teba20/current ↗
https://www.sciencedirect.com/journal/egyptian-journal-of-basic-and-applied-sciences/issues ↗
http://www.sciencedirect.com/science/journal/2314808X ↗
http://www.journals.elsevier.com/egyptian-journal-of-basic-and-applied-sciences/ ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/2314808X.2020.1813454 ↗
- Languages:
- English
- ISSNs:
- 2314-808X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 22721.xml