Recent research on artificial intelligence indicates that machine learning algorithms can
auto-generate novel drug-like molecules. Generative models have revolutionized de novo …

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 …

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 …

Distinct from the traditional diagnostic/prognostic biomarker (adopted as the indicator of
disease state/process), the therapeutic biomarker (ThMAR) has emerged to be very crucial …

Abstract Knowledge of therapeutic targets and early drug candidates is useful for improved
drug discovery. In particular, information about target regulators and the patented …

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 …

S-Adenosyl-l-methionine (SAM)-responsive riboswitches play a central role in the regulation
of bacterial gene expression at the level of transcription attenuation or translation inhibition …

Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …

Antibody-drug conjugates (ADCs) are a class of innovative biopharmaceutical drugs, which,
via their antibody (mAb) component, deliver and release their potent warhead (aka. payload) …

Widespread drug resistance has become the key issue in global healthcare. Extensive
efforts have been made to reveal not only diverse diseases experiencing drug resistance …