Newly designed compounds from scaffolds of known actives as inhibitors of survivin: computational analysis from the perspective of fragment-based drug design.

Anticancer agents Density function theory Fragment-based drug design Pharmacophore and QSAR model Survivin

Journal

In silico pharmacology
ISSN: 2193-9616
Titre abrégé: In Silico Pharmacol
Pays: Germany
ID NLM: 101623954

Informations de publication

Date de publication:
2021
Historique:
received: 23 04 2021
accepted: 19 07 2021
entrez: 5 8 2021
pubmed: 6 8 2021
medline: 6 8 2021
Statut: epublish

Résumé

Survivin is an apoptosis suppressing protein linked to different forms of cancer. As it stands, there are no approved drugs for the inhibition of survivin in cancer cells despite a number of promising compounds in clinical trials. This study designed a new set of compounds from fragments of active survivin inhibitors to potentiate their binding with survivin at BIR domain. Three hundred and five (305) fragments made from eight potent inhibitors of survivin were reconstructed to form a new set of compounds. The compounds were optimized using R group enumeration and bioisostere replacement after extensive docking analysis. The optimised compounds were filtered by a validated pharmacophore model to reveal how well they are aligned to the pharmacophore sites. Molecular docking of the well aligned compounds revealed the top-scoring compounds; and these compounds were compared with the eight inhibitors used as template for fragment-based design on the basis of binding affinity (rigid and flexible docking), predicted pIC50 and intermolecular interactions. The electronic behaviours (global descriptors, HOMO/LUMO, molecular electrostatic potential and Fukui functions) of newly designed compounds were calculated to investigate their reactivity and atomic sites prone to neutrophilic/electrophilic attack. The nine newly designed compounds had better rigid and flexible docking scores, free energy of binding and intermolecular interactions with survivin at BIR domain than the eight active inhibitors. Based on frontier molecular orbitals, OPE-3 was found to be the most reactive and less stable compound (0.13194 eV), followed by OPE-4 and OPE-9. The global descriptive parameters showed that OPE-3 had highest softness value (7.5245 eV) while OPE-8 recorded the maximum hardness value (0.08486 eV). The well-validated QSAR model also showed that OPE-3, OPE-7 and OPE-8 had the most significant bioactivity of all the inhibitors. This study thus provides new insight into the design of compounds capable of modulating the activity of survivin. The online version contains supplementary material available at 10.1007/s40203-021-00108-8.

Identifiants

pubmed: 34350094
doi: 10.1007/s40203-021-00108-8
pii: 108
pmc: PMC8316515
doi:

Types de publication

Journal Article

Langues

eng

Pagination

47

Informations de copyright

© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.

Déclaration de conflit d'intérêts

Conflict of InterestThe authors declare no conflict of interest, financial or otherwise.

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Auteurs

Olusola Olalekan Elekofehinti (OO)

Bioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, P.M.B. 704, Akure, 360001 Ondo Nigeria.

Opeyemi Iwaloye (O)

Bioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, P.M.B. 704, Akure, 360001 Ondo Nigeria.

Femi Olawale (F)

Nano-Gene and Drug Delivery Group, Department of Biochemistry, School of Life Science, University of Kwazulu Natal, Durban, 4000 South Africa.
Department of Biochemistry, University of Lagos, Lagos, Nigeria.

Prosper Obed Chukwuemeka (PO)

Federal University of Technology Akure, P.M.B. 704, Akure, 360001 Ondo Nigeria.

Ibukun Mary Folorunso (IM)

Bioinformatics and Molecular Biology Unit, Department of Biochemistry, Federal University of Technology Akure, P.M.B. 704, Akure, 360001 Ondo Nigeria.

Classifications MeSH