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 …
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 …
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 …
exploratory biomedicine science, big data in health research is highly exciting because data …
Machine learning in agriculture: A review
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 …
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
Antimicrobial resistance threatens a resurgence of life-threatening bacterial infections and
the potential demise of many aspects of modern medicine. Despite intensive drug discovery …
the potential demise of many aspects of modern medicine. Despite intensive drug discovery …
Deep learning identifies synergistic drug combinations for treating COVID-19
Effective treatments for COVID-19 are urgently needed. However, discovering single-agent
therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV …
therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV …
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Motivation While drug combination therapies are a well-established concept in cancer
treatment, identifying novel synergistic combinations is challenging due to the size of …
treatment, identifying novel synergistic combinations is challenging due to the size of …
Species-specific activity of antibacterial drug combinations
The spread of antimicrobial resistance has become a serious public health concern, making
once-treatable diseases deadly again and undermining the achievements of modern …
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 …
resistance is difficult and perhaps impossible to overcome. Nevertheless, strategies can be …
Emerging and evolving concepts in gene essentiality
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 …
fundamental and applied research. Multiple screens have been performed over the years in …