dc.contributor.author | Baysal, Ömür | |
dc.contributor.author | Silme, Ragıp Soner | |
dc.date.accessioned | 2021-12-10T10:40:33Z | |
dc.date.available | 2021-12-10T10:40:33Z | |
dc.identifier.citation | Baysal Ö., Silme R. S. , Utilization from Computational Methods and Omics Data for Antiviral Drug Discovery to Control of SARS-CoV-2, "Origin and Impact of COVID-19 Pandemic Originating From SARS-CoV-2 Infection Across the Globe", Francisco Veas, Editör, IntechOpen Limited, London, London, ss.1-15, 2021 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_4de503ee-ad15-4520-97a7-228bbf387148 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/170373 | |
dc.identifier.uri | https://avesis.istanbul.edu.tr/api/publication/4de503ee-ad15-4520-97a7-228bbf387148/file | |
dc.description.abstract | SARS-CoV-2 pandemic issue threatening world health and economy became a major problem with its destructive impact. The researchers have seen that conventional methods related to medicine and immunological background do not resolve this disease by gained knowledge of viruses previously studied. Advances in computational biology comprising bioinformatics, simulation, and yielded databases have accelerated and strengthened our facilities to predict some cases related to the biological complex by comparison with the use of artificial intelligence. Various novel drugs by using in silico resources and in vivo imaging techniques associated with high-resolution technologies can cause the confidential development of methods for the detection of antiviral drugs and the production of diagnosis kits. In the future, we will start seeing these novel techniques’ positive reflection and their advantages in cost/time effective profits. This chapter highlights these approaches and addresses updated knowledge currently used for research and development. | |
dc.language.iso | eng | |
dc.publisher | IntechOpen Limited, London | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Yaşam Bilimleri | |
dc.subject | Temel Bilimler | |
dc.subject | Multidisciplinary | |
dc.subject | Doğa Bilimleri Genel | |
dc.subject | ÇOK DİSİPLİNLİ BİLİMLER | |
dc.subject | Tıp | |
dc.subject | Klinik Tıp | |
dc.subject | Yaşam Bilimleri (LIFE) | |
dc.subject | Temel Bilimler (SCI) | |
dc.subject | Klinik Tıp (MED) | |
dc.title | Origin and Impact of COVID-19 Pandemic Originating From SARS-CoV-2 Infection Across the Globe | |
dc.type | Kitapta Bölüm | |
dc.contributor.department | Muğla Sıtkı Koçman Üniversitesi , Fen Fakültesi , Moleküler Biyoloji Ve Genetik Bölümü | |
dc.contributor.firstauthorID | 2639191 | |