Concepts of artificial intelligence for computer-assisted drug discovery

X Yang, Y Wang, R Byrne, G Schneider… - Chemical …, 2019 - ACS Publications
Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

Smelling the disease: Diagnostic potential of breath analysis

A Sharma, R Kumar, P Varadwaj - Molecular Diagnosis & Therapy, 2023 - Springer
Breath analysis is a relatively recent field of research with much promise in scientific and
clinical studies. Breath contains endogenously produced volatile organic components …

SMILES to smell: decoding the structure–odor relationship of chemical compounds using the deep neural network approach

A Sharma, R Kumar, S Ranjta… - Journal of Chemical …, 2021 - ACS Publications
Finding the relationship between the structure of an odorant molecule and its associated
smell has always been an extremely challenging task. The major limitation in establishing …

Artificial intelligence in intestinal polyp and colorectal cancer prediction

A Sharma, R Kumar, G Yadav, P Garg - Cancer letters, 2023 - Elsevier
Artificial intelligence (AI) algorithms and their application to disease detection and decision
support for healthcare professions have greatly evolved in the recent decade. AI has been …

DeePred-BBB: A blood brain barrier permeability prediction model with improved accuracy

R Kumar, A Sharma, A Alexiou, AL Bilgrami… - Frontiers in …, 2022 - frontiersin.org
The blood-brain barrier (BBB) is a selective and semipermeable boundary that maintains
homeostasis inside the central nervous system (CNS). The BBB permeability of compounds …

An integrated transfer learning and multitask learning approach for pharmacokinetic parameter prediction

Z Ye, Y Yang, X Li, D Cao, D Ouyang - Molecular pharmaceutics, 2018 - ACS Publications
Background: Pharmacokinetic evaluation is one of the key processes in drug discovery and
development. However, current absorption, distribution, metabolism, and excretion …

[HTML][HTML] User-friendly and industry-integrated AI for medicinal chemists and pharmaceuticals

O Kapustina, P Burmakina, N Gubina, N Serov… - Artificial Intelligence …, 2024 - Elsevier
Artificial intelligence has brought crucial changes to the whole field of natural sciences.
Myriads of machine learning algorithms have been developed to facilitate the work of …

Unlocking the microbial studies through computational approaches: how far have we reached?

R Kumar, G Yadav, M Kuddus, GM Ashraf… - … Science and Pollution …, 2023 - Springer
The metagenomics approach accelerated the study of genetic information from uncultured
microbes and complex microbial communities. In silico research also facilitated an …

Prediction of human intestinal absorption of compounds using artificial intelligence techniques

R Kumar, A Sharma, MH Siddiqui… - Current drug discovery …, 2017 - ingentaconnect.com
Background: Information about Pharmacokinetics of compounds is an essential component
of drug design and development. Modeling the pharmacokinetic properties require …

Multiomics technologies: role in disease biomarker discoveries and therapeutics

MA Dar, A Arafah, KA Bhat, A Khan… - Briefings in …, 2023 - academic.oup.com
Medical research has been revolutionized after the publication of the full human genome.
This was the major landmark that paved the way for understanding the biological functions …