Big data and artificial intelligence modeling for drug discovery
H Zhu - Annual review of pharmacology and toxicology, 2020 - annualreviews.org
Due to the massive data sets available for drug candidates, modern drug discovery has
advanced to the big data era. Central to this shift is the development of artificial intelligence …
advanced to the big data era. Central to this shift is the development of artificial intelligence …
Machine learning methods in drug discovery
L Patel, T Shukla, X Huang, DW Ussery, S Wang - Molecules, 2020 - mdpi.com
The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
created a fertile base for progress in many scientific fields and industries. In the fields of drug …
[HTML][HTML] Enhancing preclinical drug discovery with artificial intelligence
Artificial intelligence (AI) is becoming an integral part of drug discovery. It has the potential to
deliver across the drug discovery and development value chain, starting from target …
deliver across the drug discovery and development value chain, starting from target …
Artificial intelligence in drug discovery: into the great wide open
We are pleased to introduce the Special Issue “Artificial Intelligence in Drug Discovery”
highlighting the emerging role of artificial intelligence (AI) in pharmaceutical research. A …
highlighting the emerging role of artificial intelligence (AI) in pharmaceutical research. A …
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …
Industry-scale application and evaluation of deep learning for drug target prediction
Artificial intelligence (AI) is undergoing a revolution thanks to the breakthroughs of machine
learning algorithms in computer vision, speech recognition, natural language processing …
learning algorithms in computer vision, speech recognition, natural language processing …
[HTML][HTML] CADD, AI and ML in drug discovery: A comprehensive review
D Vemula, P Jayasurya, V Sushmitha, YN Kumar… - European Journal of …, 2023 - Elsevier
Computer-aided drug design (CADD) is an emerging field that has drawn a lot of interest
because of its potential to expedite and lower the cost of the drug development process …
because of its potential to expedite and lower the cost of the drug development process …
Artificial intelligence for drug discovery: Are we there yet?
C Hasselgren, TI Oprea - Annual Review of Pharmacology and …, 2024 - annualreviews.org
Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …
Machine learning techniques and drug design
The interest in the application of machine learning techniques (MLT) as drug design tools is
growing in the last decades. The reason for this is related to the fact that the drug design is …
growing in the last decades. The reason for this is related to the fact that the drug design is …
Artificial intelligence in drug discovery
MA Sellwood, M Ahmed, MHS Segler… - Future medicinal …, 2018 - Taylor & Francis
Artificial intelligence (AI), and the subfield of machine learning (ML), study the processes
and practicalities of enabling machines to skilfully perform intelligent tasks, without explicitly …
and practicalities of enabling machines to skilfully perform intelligent tasks, without explicitly …