Identification of Potential Inhibitors of Human Methionine Aminopeptidase (type Ii) for Cancer Therapy: Structure-Based Virtual Screening, Admet Prediction and Molecular Dynamics Studies

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Date

2020

Authors

Weako, Jackson
Uba, Abdullahi Ibrahim
Keskin, Özlem
Gürsoy, Attila
Yelekçi, Kemal

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

Yes

OpenAIRE Downloads

7

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3

Publicly Funded

No
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Top 10%
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Average
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Top 10%

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Abstract

Methionine Aminopeptidases MetAPs are divalent-cofactor dependent enzymes that are responsible for the cleavage of the initiator Methionine from the nascent polypeptides. MetAPs are classified into two isoforms: namely, MetAP1 and MetAP2. Several studies have revealed that MetAP2 is upregulated in various cancers, and its inhibition has shown to suppress abnormal or excessive blood vessel formation and tumor growth in model organisms. Clinical studies show that the natural product fumagillin, and its analogs are potential inhibitors of MetAP2. However, due to their poor pharmacokinetic properties and neurotoxicities in clinical studies, their further developments have received a great setback. Here, we apply structure-based virtual screening and molecular dynamics methods to identify a new class of potential inhibitors for MetAP2. We screened Otava's Chemical Library, which consists of about 3 200 000 tangible-chemical compounds, and meticulously selected the top 10 of these compounds based on their inhibitory potentials against MetAP2. The top hit compounds subjected to ADMET predictor using 3 independent ADMET prediction programs, were found to be drug-like. To examine the stability of ligand binding mode, and efficacy, the unbound form of MetAP2, its complexes with fumagillin, spiroepoxytriazole, and the best promising compounds compound-3369841 and compound-3368818 were submitted to 100 ns molecular dynamics simulation. Like fumagillin, spiroepoxytriazole, and both compound-3369841 and compound-3368818 showed stable binding mode over time during the simulations. Taken together, these uninherited-fumagillin compounds may serve as new class of inhibitors or provide scaffolds for further optimization towards the design of more potent MetAP2 inhibitors -development of such inhibitors would be essential strategy against various cancer types.

Description

Keywords

MetAP2 inhibitors, Structure-based virtual screening, Molecular docking, Molecular dynamics simulation, Molecular Structure, Metalloendopeptidases, Antineoplastic Agents, MetAP2 inhibitors, Structure-based virtual screening, Molecular Dynamics Simulation, Aminopeptidases, Molecular Docking Simulation, Neoplasms, Molecular docking, Molecular dynamics simulation, Drug Discovery, Humans

Fields of Science

0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Citation

WoS Q

Q1

Scopus Q

Q3
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OpenCitations Citation Count
18

Source

Computational Biology and Chemistry

Volume

86

Issue

Start Page

107244

End Page

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Citations

CrossRef : 19

Scopus : 20

PubMed : 7

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Mendeley Readers : 42

SCOPUS™ Citations

20

checked on Feb 11, 2026

Web of Science™ Citations

17

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Page Views

12

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Downloads

57

checked on Feb 11, 2026

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3

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