Identification of Novel Antibacterials Using Machine Learning Techniques

Many pharmaceutical companies are avoiding the development of novel antibacterials due to a range of rational reasons and the high risk of failure. However, there is an urgent need for novel antibiotics especially against resistant bacterial strains. Available in silico models suffer from many drawb...

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Detaylı Bibliyografya
Yayımlandı:Front Pharmacol
Asıl Yazarlar: Ivanenkov, Yan A., Zhavoronkov, Alex, Yamidanov, Renat S., Osterman, Ilya A., Sergiev, Petr V., Aladinskiy, Vladimir A., Aladinskaya, Anastasia V., Terentiev, Victor A., Veselov, Mark S., Ayginin, Andrey A., Kartsev, Victor G., Skvortsov, Dmitry A., Chemeris, Alexey V., Baimiev, Alexey Kh., Sofronova, Alina A., Malyshev, Alexander S., Filkov, Gleb I., Bezrukov, Dmitry S., Zagribelnyy, Bogdan A., Putin, Evgeny O., Puchinina, Maria M., Dontsova, Olga A.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2019
Konular:
Pharmacology
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6719509/
https://ncbi.nlm.nih.gov/pubmed/31507413
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphar.2019.00913
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