The role of AI in drug discovery: challenges, opportunities, and strategies

A Blanco-Gonzalez, A Cabezon, A Seco-Gonzalez… - Pharmaceuticals, 2023 - mdpi.com
Artificial intelligence (AI) has the potential to revolutionize the drug discovery process,
offering improved efficiency, accuracy, and speed. However, the successful application of AI …

[HTML][HTML] Deep Learning applications for COVID-19

C Shorten, TM Khoshgoftaar, B Furht - Journal of big Data, 2021 - Springer
This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …

Building a knowledge graph to enable precision medicine

P Chandak, K Huang, M Zitnik - Scientific Data, 2023 - nature.com
Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …

Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …

Artificial intelligence in cancer target identification and drug discovery

Y You, X Lai, Y Pan, H Zheng, J Vera, S Liu… - … and Targeted Therapy, 2022 - nature.com
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework

X Zeng, H Xiang, L Yu, J Wang, K Li… - Nature Machine …, 2022 - nature.com
The clinical efficacy and safety of a drug is determined by its molecular properties and
targets in humans. However, proteome-wide evaluation of all compounds in humans, or …

Deep generative molecular design reshapes drug discovery

X Zeng, F Wang, Y Luo, S Kang, J Tang… - Cell Reports …, 2022 - cell.com
Recent advances and accomplishments of artificial intelligence (AI) and deep generative
models have established their usefulness in medicinal applications, especially in drug …

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

S Sarker, L Jamal, SF Ahmed, N Irtisam - Robotics and autonomous …, 2021 - Elsevier
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st
century, probably the most significant global crisis after the second world war. The rapid …

Deep learning for drug repurposing: Methods, databases, and applications

X Pan, X Lin, D Cao, X Zeng, PS Yu… - Wiley …, 2022 - Wiley Online Library
Drug development is time‐consuming and expensive. Repurposing existing drugs for new
therapies is an attractive solution that accelerates drug development at reduced …

AlphaFold, artificial intelligence (AI), and allostery

R Nussinov, M Zhang, Y Liu, H Jang - The Journal of Physical …, 2022 - ACS Publications
AlphaFold has burst into our lives. A powerful algorithm that underscores the strength of
biological sequence data and artificial intelligence (AI). AlphaFold has appended projects …