Artificial intelligence in cancer target identification and drug discovery

Y You, X Lai, Y Pan, H Zheng, J Vera, S Liu… - … and Targeted Therapy, 2022 - nature.com
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

[HTML][HTML] Stability of feature selection algorithm: A review

UM Khaire, R Dhanalakshmi - Journal of King Saud University-Computer …, 2022 - Elsevier
Feature selection technique is a knowledge discovery tool which provides an understanding
of the problem through the analysis of the most relevant features. Feature selection aims at …

On the joint-effect of class imbalance and overlap: a critical review

MS Santos, PH Abreu, N Japkowicz… - Artificial Intelligence …, 2022 - Springer
Current research on imbalanced data recognises that class imbalance is aggravated by
other data intrinsic characteristics, among which class overlap stands out as one of the most …

Bioinformatics approaches for anti-cancer drug discovery

K Li, Y Du, L Li, DQ Wei - Current drug targets, 2020 - ingentaconnect.com
Drug discovery is important in cancer therapy and precision medicines. Traditional
approaches of drug discovery are mainly based on in vivo animal experiments and in vitro …

mTOR/EGFR/iNOS/MAP2K1/FGFR/TGFB1 are druggable candidates for N-(2, 4-difluorophenyl)-2′, 4′-difluoro-4-hydroxybiphenyl-3-carboxamide (NSC765598) …

B Lawal, CY Lee, N Mokgautsi, MR Sumitra… - Frontiers in …, 2021 - frontiersin.org
Background The application of computational and multi-omics approaches has aided our
understanding of carcinogenesis and the development of therapeutic strategies …

Integrated PPI-and WGCNA-retrieval of hub gene signatures shared between Barrett's esophagus and esophageal adenocarcinoma

AS Nangraj, G Selvaraj, S Kaliamurthi… - Frontiers in …, 2020 - frontiersin.org
Esophageal adenocarcinoma (EAC) is a deadly cancer with high mortality rate, especially in
economically advanced countries, while Barrett's esophagus (BE) is reported to be a …

Multiomics identification of potential targets for Alzheimer disease and antrocin as a therapeutic candidate

ATH Wu, B Lawal, L Wei, YT Wen, DTW Tzeng, WC Lo - Pharmaceutics, 2021 - mdpi.com
Alzheimer's disease (AD) is the most frequent cause of neurodegenerative dementia and
affects nearly 50 million people worldwide. Early stage diagnosis of AD is challenging, and …

An integrated systems biology and network-based approaches to identify novel biomarkers in breast cancer cell lines using gene expression data

A Khan, Z Rehman, HF Hashmi, AA Khan… - Interdisciplinary …, 2020 - Springer
Breast cancer is the most common cause of death in women worldwide. Approximately 5%–
10% of instances are attributed to mutations acquired from the parents. Therefore, it is highly …

Molecular docking and molecular dynamics simulation studies to identify potent AURKA inhibitors: assessing the performance of density functional theory, MM-GBSA …

S Chinnasamy, G Selvaraj, AC Kaushik… - Journal of …, 2020 - Taylor & Francis
Aurora kinase (AURK) is a normal cell proliferation-inducing enzyme encoded by AURK
gene in humans. It belongs to the family of serine/threonine kinase. Based on its function …

MRI‐Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced …

H Liao, X Chen, S Lu, G Jin, W Pei, Y Li… - Journal of Magnetic …, 2022 - Wiley Online Library
Background Pretreatment individualized assessment of tumor response to induction
chemotherapy (ICT) is a need in locoregionally advanced nasopharyngeal carcinoma …