A review on applications of computational methods in drug screening and design

X Lin, X Li, X Lin - Molecules, 2020 - mdpi.com
Drug development is one of the most significant processes in the pharmaceutical industry.
Various computational methods have dramatically reduced the time and cost of drug …

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 …

Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

S Vatansever, A Schlessinger, D Wacker… - Medicinal research …, 2021 - Wiley Online Library
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

Toxicity prediction based on artificial intelligence: A multidisciplinary overview

E Pérez Santín, R Rodríguez Solana… - Wiley …, 2021 - Wiley Online Library
The use and production of chemical compounds are subjected to strong legislative pressure.
Chemical toxicity and adverse effects derived from exposure to chemicals are key regulatory …

Using artificial intelligence methods to speed up drug discovery

Ó Álvarez-Machancoses… - Expert opinion on drug …, 2019 - Taylor & Francis
Introduction: Drug discovery is the process through which potential new compounds are
identified by means of biology, chemistry, and pharmacology. Due to the high complexity of …

De Novo Design of New Chemical Entities for SARS-CoV-2 Using Artificial Intelligence

N Bung, SR Krishnan, G Bulusu… - Future medicinal …, 2021 - Taylor & Francis
Background: The novel coronavirus SARS-CoV-2 has severely affected the health and
economy of several countries. Multiple studies are in progress to design novel therapeutics …

COIMMR: a computational framework to reveal the contribution of herbal ingredients against human cancer via immune microenvironment and metabolic …

S Tian, Y Li, J Xu, L Zhang, J Zhang, J Lu… - Briefings in …, 2023 - academic.oup.com
Immune evasion and metabolism reprogramming have been regarded as two vital hallmarks
of the mechanism of carcinogenesis. Thus, targeting the immune microenvironment and the …

Predictive model of linear antimicrobial peptides active against gram-negative bacteria

B Vishnepolsky, A Gabrielian, A Rosenthal… - Journal of chemical …, 2018 - ACS Publications
Antimicrobial peptides (AMPs) have been identified as a potential new class of anti-
infectives for drug development. There are a lot of computational methods that try to predict …

Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system

V Gautam, A Gaurav, N Masand, VS Lee, VM Patil - Molecular Diversity, 2023 - Springer
CNS disorders are indications with a very high unmet medical needs, relatively smaller
number of available drugs, and a subpar satisfaction level among patients and caregiver …

Applications of artificial intelligence to drug design and discovery in the big data era: a comprehensive review

N Tripathi, MK Goshisht, SK Sahu, C Arora - Molecular Diversity, 2021 - Springer
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due
to substantial progress in high-performance computing, the development of superior …