The 2022 Nucleic Acids Research database issue and the online molecular biology database collection
DJ Rigden, XM Fernández - Nucleic acids research, 2022 - academic.oup.com
Abstract The 2022 Nucleic Acids Research Database Issue contains 185 papers, including
87 papers reporting on new databases and 85 updates from resources previously published …
87 papers reporting on new databases and 85 updates from resources previously published …
Deciphering the lexicon of protein targets: a review on multifaceted drug discovery in the era of artificial intelligence
Understanding protein sequence and structure is essential for understanding protein–
protein interactions (PPIs), which are essential for many biological processes and diseases …
protein interactions (PPIs), which are essential for many biological processes and diseases …
Application of artificial intelligence in drug design: A review
Artificial intelligence (AI) is a field of computer science that involves acquiring information,
developing rule bases, and mimicking human behaviour. The fundamental concept behind …
developing rule bases, and mimicking human behaviour. The fundamental concept behind …
DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning
In recent years, drug repositioning has emerged as a promising alternative to the time-
consuming, expensive and risky process of developing new drugs for diseases. However …
consuming, expensive and risky process of developing new drugs for diseases. However …
[HTML][HTML] Genomic alterations in oral multiple primary cancers
X Zhou, X Cai, F Jing, X Li, J Zhang… - International Journal of …, 2024 - nature.com
Oral squamous cell carcinoma (OSCC) is the predominant type of oral cancer, while some
patients may develop oral multiple primary cancers (MPCs) with unclear etiology. This study …
patients may develop oral multiple primary cancers (MPCs) with unclear etiology. This study …
Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks
Drug combinations are frequently used to treat cancer to reduce side effects and increase
efficacy. The experimental discovery of drug combination synergy is time-consuming and …
efficacy. The experimental discovery of drug combination synergy is time-consuming and …
Benchmarking reverse docking through AlphaFold2 human proteome
Predicting the binding of ligands to the human proteome via reverse‐docking methods
enables the understanding of ligand's interactions with potential protein targets in the human …
enables the understanding of ligand's interactions with potential protein targets in the human …
PT-Finder: A multi-modal neural network approach to target identification
Efficient target identification for bioactive compounds, including novel synthetic analogs, is
crucial for accelerating the drug discovery pipeline. However, the process of target …
crucial for accelerating the drug discovery pipeline. However, the process of target …
GK BertDTA: a graph representation learning and semantic embedding-based framework for drug-target affinity prediction
Developing new drugs is costly, time-consuming, and risky. Drug-target affinity (DTA),
indicating the binding capability between drugs and target proteins, is a crucial indicator for …
indicating the binding capability between drugs and target proteins, is a crucial indicator for …
Identification of MACC1 as a potential biomarker for pulmonary arterial hypertension based on bioinformatics and machine learning
X Zhou, B Liang, W Lin, L Zha - Computers in Biology and Medicine, 2024 - Elsevier
Background Pulmonary arterial hypertension (PAH) is a life-threatening disease
characterized by abnormal early activation of pulmonary arterial smooth muscle cells …
characterized by abnormal early activation of pulmonary arterial smooth muscle cells …