Identification of Novel Antibacterials Using Machine Learning Techniques

• Main Authors: Yan A. Ivanenkov (Author), Alex Zhavoronkov (Author), Renat S. Yamidanov (Author), Ilya A. Osterman (Author), Petr V. Sergiev (Author), Vladimir A. Aladinskiy (Author), Anastasia V. Aladinskaya (Author), Victor A. Terentiev (Author), Mark S. Veselov (Author), Andrey A. Ayginin (Author), Victor G. Kartsev (Author), Dmitry A. Skvortsov (Author), Alexey V. Chemeris (Author), Alexey Kh. Baimiev (Author), Alina A. Sofronova (Author), Alexander S. Malyshev (Author), Gleb I. Filkov (Author), Dmitry S. Bezrukov (Author), Bogdan A. Zagribelnyy (Author), Evgeny O. Putin (Author), Maria M. Puchinina (Author), Olga A. Dontsova (Author)
• Format: Book
• Published: Frontiers Media S.A., 2019-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...