Generative adversarial networks in medical image augmentation: a review
Object With the development of deep learning, the number of training samples for medical
image-based diagnosis and treatment models is increasing. Generative Adversarial …
image-based diagnosis and treatment models is increasing. Generative Adversarial …
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 …
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 …
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 …
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 …
NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data
Biological processes (like microbial growth & physiological response) are usually dynamic
and require the monitoring of metabolic variation at different time-points. Moreover, there is …
and require the monitoring of metabolic variation at different time-points. Moreover, there is …
Molecular mechanism for the allosteric inhibition of the human serotonin transporter by antidepressant escitalopram
W Xue, T Fu, S Deng, F Yang, J Yang… - ACS chemical …, 2022 - ACS Publications
Human serotine transporter (hSERT) is one of the most influential drug targets, and its
allosteric modulators (eg, escitalopram) have emerged to be the next-generation medication …
allosteric modulators (eg, escitalopram) have emerged to be the next-generation medication …
VARIDT 2.0: structural variability of drug transporter
The structural variability data of drug transporter (DT) are key for research on precision
medicine and rational drug use. However, these valuable data are not sufficiently covered …
medicine and rational drug use. However, these valuable data are not sufficiently covered …