The miRNA: a small but powerful RNA for COVID-19
Abstract Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) is a severe and rapidly evolving epidemic. Now …
syndrome coronavirus 2 (SARS-CoV-2) is a severe and rapidly evolving epidemic. Now …
Generative machine learning for de novo drug discovery: A systematic review
DD Martinelli - Computers in Biology and Medicine, 2022 - Elsevier
Recent research on artificial intelligence indicates that machine learning algorithms can
auto-generate novel drug-like molecules. Generative models have revolutionized de novo …
auto-generate novel drug-like molecules. Generative models have revolutionized de novo …
Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents
Drug discovery relies on the knowledge of not only drugs and targets, but also the
comparative agents and targets. These include poor binders and non-binders for developing …
comparative agents and targets. These include poor binders and non-binders for developing …
Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism
T Wang, J Sun, Q Zhao - Computers in biology and medicine, 2023 - Elsevier
Human ether-a-go-go-related gene (hERG) channel blockade by small molecules is a big
concern during drug development in the pharmaceutical industry. Failure or inhibition of …
concern during drug development in the pharmaceutical industry. Failure or inhibition of …
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
TTD: Therapeutic Target Database describing target druggability information
Y Zhou, Y Zhang, D Zhao, X Yu, X Shen… - Nucleic acids …, 2024 - academic.oup.com
Target discovery is one of the essential steps in modern drug development, and the
identification of promising targets is fundamental for developing first-in-class drug. A variety …
identification of promising targets is fundamental for developing first-in-class drug. A variety …
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection
The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …
combinatorial optimization problem, which effectively combines the memetic algorithm …
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics
Abstract Knowledge of therapeutic targets and early drug candidates is useful for improved
drug discovery. In particular, information about target regulators and the patented …
drug discovery. In particular, information about target regulators and the patented …
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …
exploration of complex and dynamic biological processes. Instrument development has …
DrugMAP: molecular atlas and pharma-information of all drugs
The efficacy and safety of drugs are widely known to be determined by their interactions with
multiple molecules of pharmacological importance, and it is therefore essential to …
multiple molecules of pharmacological importance, and it is therefore essential to …