Artificial intelligence and cheminformatics tools: a contribution to the drug development and chemical science

I Saifi, BA Bhat, SS Hamdani, UY Bhat… - Journal of …, 2023 - Taylor & Francis
In the ever-evolving field of drug discovery, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) with cheminformatics has proven to be a powerful combination …

State-of-the-art of artificial intelligence in medicinal chemistry

J Bajorath - Future Science OA, 2021 - Taylor & Francis
As in many areas of science and technology, artificial intelligence (AI) is currently promoted
with high expectations in drug discovery and medicinal chemistry. Here, AI mostly refers to …

Intelligently applying artificial intelligence in chemoinformatics

S Sharma, D Sharma - Current topics in medicinal chemistry, 2018 - ingentaconnect.com
The intertwining of chemoinformatics with artificial intelligence (AI) has given a tremendous
fillip to the field of drug discovery. With the rapid growth of chemical data from high …

Artificial intelligence in drug discovery: recent advances and future perspectives

J Jiménez-Luna, F Grisoni, N Weskamp… - Expert opinion on drug …, 2021 - Taylor & Francis
Introduction: Artificial intelligence (AI) has inspired computer-aided drug discovery. The
widespread adoption of machine learning, in particular deep learning, in multiple scientific …

Machine learning, artificial intelligence, and data science breaking into drug design and neglected diseases

J Peña‐Guerrero, PA Nguewa… - Wiley Interdisciplinary …, 2021 - Wiley Online Library
Abstract Machine learning (ML) is becoming capable of transforming biomolecular
interaction description and calculation, promising an impact on molecular and drug design …

Recent applications of machine learning in medicinal chemistry

J Panteleev, H Gao, L Jia - Bioorganic & medicinal chemistry letters, 2018 - Elsevier
In recent decades, artificial intelligence and machine learning have played a significant role
in increasing the efficiency of processes across a wide spectrum of industries. When it …

[HTML][HTML] A review on machine learning approaches and trends in drug discovery

P Carracedo-Reboredo, J Liñares-Blanco… - Computational and …, 2021 - Elsevier
Drug discovery aims at finding new compounds with specific chemical properties for the
treatment of diseases. In the last years, the approach used in this search presents an …

Machine learning in chemoinformatics and medicinal chemistry

R Rodríguez-Pérez, F Miljković… - Annual review of …, 2022 - annualreviews.org
In chemoinformatics and medicinal chemistry, machine learning has evolved into an
important approach. In recent years, increasing computational resources and new deep …

Revolutionizing medicinal chemistry: the application of artificial intelligence (AI) in early drug discovery

R Han, H Yoon, G Kim, H Lee, Y Lee - Pharmaceuticals, 2023 - mdpi.com
Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical
industry and research, where it has been utilized to efficiently identify new chemical entities …

Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling

L Zhao, HL Ciallella, LM Aleksunes, H Zhu - Drug discovery today, 2020 - Elsevier
Highlights•Drug discovery has been advanced to a big data era with a large amount of
public data sources available.•Ten V features (volume, velocity, variety, veracity, validity …