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

gdc.relation.journal Computational Biology and Chemistry en_US
dc.contributor.author Weako, Jackson
dc.contributor.author Uba, Abdullahi Ibrahim
dc.contributor.author Keskin, Özlem
dc.contributor.author Gürsoy, Attila
dc.contributor.author Yelekçi, Kemal
dc.contributor.other Molecular Biology and Genetics
dc.contributor.other 05. Faculty of Engineering and Natural Sciences
dc.contributor.other 01. Kadir Has University
dc.date.accessioned 2020-06-18T08:57:31Z
dc.date.available 2020-06-18T08:57:31Z
dc.date.issued 2020
dc.description.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. en_US
dc.description.sponsorship Tubitak en_US
dc.identifier.citationcount 14
dc.identifier.doi 10.1016/j.compbiolchem.2020.107244 en_US
dc.identifier.issn 1476-9271 en_US
dc.identifier.issn 1476-928X en_US
dc.identifier.issn 1476-9271
dc.identifier.issn 1476-928X
dc.identifier.scopus 2-s2.0-85082743357 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/2926
dc.identifier.uri https://doi.org/10.1016/j.compbiolchem.2020.107244
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Computational Biology and Chemistry
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject MetAP2 inhibitors en_US
dc.subject Structure-based virtual screening en_US
dc.subject Molecular docking en_US
dc.subject Molecular dynamics simulation en_US
dc.title Identification of Potential Inhibitors of Human Methionine Aminopeptidase (type Ii) for Cancer Therapy: Structure-Based Virtual Screening, Admet Prediction and Molecular Dynamics Studies en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Weako, Jackson en_US
gdc.author.institutional Yelekçi, Kemal
gdc.author.institutional Yelekçi, Kemal en_US
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access embargoed access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Biyoinformatik ve Genetik Bölümü en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 107244
gdc.description.volume 86 en_US
gdc.identifier.openalex W3009070118
gdc.identifier.pmid 32252002 en_US
gdc.identifier.wos WOS:000537621900006 en_US
gdc.oaire.diamondjournal false
gdc.oaire.downloads 7
gdc.oaire.impulse 15.0
gdc.oaire.influence 3.0875311E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Molecular Structure
gdc.oaire.keywords Metalloendopeptidases
gdc.oaire.keywords Antineoplastic Agents
gdc.oaire.keywords MetAP2 inhibitors
gdc.oaire.keywords Structure-based virtual screening
gdc.oaire.keywords Molecular Dynamics Simulation
gdc.oaire.keywords Aminopeptidases
gdc.oaire.keywords Molecular Docking Simulation
gdc.oaire.keywords Neoplasms
gdc.oaire.keywords Molecular docking
gdc.oaire.keywords Molecular dynamics simulation
gdc.oaire.keywords Drug Discovery
gdc.oaire.keywords Humans
gdc.oaire.popularity 1.6943181E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0301 basic medicine
gdc.oaire.sciencefields 0303 health sciences
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.views 3
gdc.openalex.fwci 1.43
gdc.openalex.normalizedpercentile 1.0
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 18
gdc.plumx.crossrefcites 16
gdc.plumx.facebookshareslikecount 188
gdc.plumx.mendeley 41
gdc.plumx.pubmedcites 7
gdc.plumx.scopuscites 19
gdc.scopus.citedcount 20
gdc.wos.citedcount 17
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