The past, present, and future of antibiotics

MA Cook, GD Wright - Science translational medicine, 2022 - science.org
Antibiotics have transformed modern medicine. They are essential for treating infectious
diseases and enable vital therapies and procedures. However, despite this success, their …

Artificial intelligence for drug discovery: Resources, methods, and applications

W Chen, X Liu, S Zhang, S Chen - Molecular Therapy-Nucleic Acids, 2023 - cell.com
Conventional wet laboratory testing, validations, and synthetic procedures are costly and
time-consuming for drug discovery. Advancements in artificial intelligence (AI) techniques …

A review of principal component analysis algorithm for dimensionality reduction

BMS Hasan, AM Abdulazeez - Journal of Soft Computing …, 2021 - publisher.uthm.edu.my
Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …

Machine learning in agriculture: A review

KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis - Sensors, 2018 - mdpi.com
Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …

Drug combinations: a strategy to extend the life of antibiotics in the 21st century

M Tyers, GD Wright - Nature Reviews Microbiology, 2019 - nature.com
Antimicrobial resistance threatens a resurgence of life-threatening bacterial infections and
the potential demise of many aspects of modern medicine. Despite intensive drug discovery …

Deep learning identifies synergistic drug combinations for treating COVID-19

W **, JM Stokes, RT Eastman, Z Itkin… - Proceedings of the …, 2021 - National Acad Sciences
Effective treatments for COVID-19 are urgently needed. However, discovering single-agent
therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV …

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning

K Preuer, RPI Lewis, S Hochreiter, A Bender… - …, 2018 - academic.oup.com
Motivation While drug combination therapies are a well-established concept in cancer
treatment, identifying novel synergistic combinations is challenging due to the size of …

Species-specific activity of antibacterial drug combinations

AR Brochado, A Telzerow, J Bobonis, M Banzhaf… - Nature, 2018 - nature.com
The spread of antimicrobial resistance has become a serious public health concern, making
once-treatable diseases deadly again and undermining the achievements of modern …

Antibiotic adjuvants: rescuing antibiotics from resistance

GD Wright - Trends in microbiology, 2016 - cell.com
Rooted in the mechanism of action of antibiotics and subject to bacterial evolution, antibiotic
resistance is difficult and perhaps impossible to overcome. Nevertheless, strategies can be …

Emerging and evolving concepts in gene essentiality

G Rancati, J Moffat, A Typas, N Pavelka - Nature Reviews Genetics, 2018 - nature.com
Gene essentiality is a founding concept of genetics with important implications in both
fundamental and applied research. Multiple screens have been performed over the years in …