Research Project:
Cheminformatics-based, high-throughput virtual screening for candidate inhibitory peptides against the spike protein of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

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dc.contributorUysal, Serdar
dc.contributorKhan, Mohammad Asif
dc.contributorÖncel, Muhammed Miran
dc.contributorHerdan, Emre
dc.date.accessioned2023-02-17T09:48:20Z
dc.date.available2023-02-17T09:48:20Z
dc.date.issued2019-01-07
dc.identifier001
dc.identifier.urihttps://hdl.handle.net/20.500.12645/36804
dc.subjectBilgisayar Bilimleri
dc.subjectBiyoenformatik
dc.subjectMühendislik ve Teknoloji
dc.subjectComputer Sciences
dc.subjectbioinformatics
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectCOMPUTER SCIENCE
dc.subjectCOMPUTER SCIENCE, THEORY & METHODS
dc.subjectTheoretical Computer Science
dc.subjectGeneral Computer Science
dc.subjectComputer Science (miscellaneous)
dc.subjectComputer Science Applications
dc.subjectPhysical Sciences
dc.titleCheminformatics-based, high-throughput virtual screening for candidate inhibitory peptides against the spike protein of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
dspace.entity.typeProject
local.avesis.idad7abd60-fc8c-4cd6-aa3c-6f7597bf8756
local.project.countryTürkiye
local.project.statusDevam Ediyor
local.project.typeDiğer Resmi Kurumlarca Desteklenen Proje
project.endDate2020-12-31
project.startDate2019-01-07

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