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
OpenAIRE Views
3
Publicly Funded
No
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

OpenCitations Citation Count
18
Source
Computational Biology and Chemistry
Volume
86
Issue
Start Page
107244
End Page
PlumX Metrics
Citations
CrossRef : 19
Scopus : 20
PubMed : 7
Captures
Mendeley Readers : 42
SCOPUS™ Citations
20
checked on Feb 11, 2026
Web of Science™ Citations
17
checked on Feb 11, 2026
Page Views
12
checked on Feb 11, 2026
Downloads
57
checked on Feb 11, 2026
Google Scholar™

OpenAlex FWCI
1.50881678
Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING


