Accurate prediction of molecular properties is an important topic in drug discovery. Recent
works have developed various representation schemes for molecular structures to capture …

Computational approaches have revolutionized the field of drug discovery, collectively
known as Computer-Assisted Drug Design (CADD). Advancements in computing power …

The emergence of neuromorphic computing, inspired by the structure and function of the
human brain, presents a transformative framework for modelling neurological disorders in …

Molecular property prediction is a critical step in drug discovery. Deep learning (DL) has
accelerated the discovery of compounds with desirable molecular properties for successful …

Molecular property prediction is an important task in drug discovery. However, experimental
data for many drug molecules are limited, especially for novel molecular structures or rare …

Background: Drug discovery and development is the extremely costly and time-consuming
process of identifying new molecules that can interact with a biomarker target to interrupt the …

Molecular property prediction plays a crucial role in drug discovery and development.
However, traditional experimental measurements and Quantitative Structure-Activity …

Obtaining comprehensive and informative representations of molecules is a crucial
prerequisite for efficient molecule property prediction in artificial intelligence-driven drug …

With the development of the Internet, the application of computer technology has rapidly
become widespread, driving the progress of Internet of Things (IoT) technology. The attacks …

Accumulating scientific evidence highlights the pivotal role of miRNA–disease association
research in elucidating disease pathogenesis and develo** innovative diagnostics …