Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries

C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …

Artificial intelligence, big data and machine learning approaches in precision medicine & drug discovery

A Nayarisseri, R Khandelwal, P Tanwar… - Current drug …, 2021 - ingentaconnect.com
Artificial Intelligence revolutionizes the drug development process that can quickly identify
potential biologically active compounds from millions of candidate within a short period. The …

Shape-based machine learning models for the potential novel COVID-19 protease inhibitors assisted by molecular dynamics simulation

A Nayarisseri, R Khandelwal… - Current topics in …, 2020 - ingentaconnect.com
Background: The vast geographical expansion of novel coronavirus and an increasing
number of COVID-19 affected cases have overwhelmed health and public health services …

[HTML][HTML] An in silico approach to identify high affinity small molecule targeting m-TOR inhibitors for the clinical treatment of breast cancer

K Patidar, U Panwar, S Vuree, J Sweta… - Asian Pacific journal …, 2019 - ncbi.nlm.nih.gov
Breast cancer is the most frequent malignancy among women. It is a heterogeneous disease
with different subtypes defined by its hormone receptor. A hormone receptor is mainly …

[HTML][HTML] The role of artificial intelligence in the development of anticancer therapeutics from natural polyphenols: Current advances and future prospects

Y Zheng, Y Ma, Q Xiong, K Zhu, N Weng… - Pharmacological Research, 2024 - Elsevier
Natural polyphenols, abundant in the human diet, are derived from a wide variety of sources.
Numerous preclinical studies have demonstrated their significant anticancer properties …

Target-based small molecule drug discovery for colorectal cancer: a review of molecular pathways and in silico studies

S Moshawih, AF Lim, C Ardianto, KW Goh, N Kifli… - Biomolecules, 2022 - mdpi.com
Colorectal cancer is one of the most prevalent cancer types. Although there have been
breakthroughs in its treatments, a better understanding of the molecular mechanisms and …

Structure-based virtual screening, molecular docking, and molecular dynamics simulation of VEGF inhibitors for the clinical treatment of ovarian cancer

S Mukherjee, M Abdalla, M Yadav, M Madhavi… - Journal of Molecular …, 2022 - Springer
Vascular endothelial growth factor (VEGF) and its receptor play an important role both in
physiologic and pathologic angiogenesis, which is identified in ovarian cancer progression …

[HTML][HTML] Design of PD-L1 inhibitors for lung cancer

T Udhwani, S Mukherjee, K Sharma, J Sweta… - …, 2019 - ncbi.nlm.nih.gov
The progression of lung cancer is associated with inactivation of programmed cell death
protein 1, abbreviated as PD-1 which regulates the suppression of the body's immune …

Structure-based virtual screening, molecular docking, molecular dynamics simulation and pharmacokinetic modelling of cyclooxygenase-2 (COX-2) inhibitor for the …

M Yadav, M Abdalla, M Madhavi, I Chopra… - Molecular …, 2022 - Taylor & Francis
Colorectal cancer is the third most frequent cause of cancer worldwide and is more
prevalent in older individuals of all ages. The recent statistics from World Health …