IEEE/ACM transactions on computational biology and bioinformatics
Feb 5, 2024
Accurate identification of DNA promoter sequences is of crucial importance in unraveling the underlying mechanisms that regulate gene transcription. Initiation of transcription is controlled through regulatory transcription factors binding to promote...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
Few-Shot Molecular Property Prediction (FSMPP) is an improtant task on drug discovery, which aims to learn transferable knowledge from base property prediction tasks with sufficient data for predicting novel properties with few labeled molecules. Its...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
In recent years, machine learning has gained increasing traction in the study of molecules, enabling researchers to tackle challenging tasks including molecular property prediction and drug design.Consequently, there remains an open challenge to deve...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
Proteins usually perform their cellular functions by interacting with other proteins. Accurate identification of protein-protein interaction sites (PPIs) from sequence is import for designing new drugs and developing novel therapeutics. A lot of comp...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
In feature selection research, simultaneous multi-class feature selection technologies are popular because they simultaneously select informative features for all classes. Recursive feature elimination (RFE) methods are state-of-the-art binary featur...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
The advancements in next-generation sequencing technologies have given rise to large-scale, open-source protein databases consisting of hundreds of millions of sequences. However, to make these sequences useful in biomedical applications, they need t...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
Predicting drug side effects before they occur is a critical task for keeping the number of drug-related hospitalizations low and for improving drug discovery processes. Automatic predictors of side-effects generally are not able to process the struc...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
Accurate identification of RNA modification sites is of great significance in understanding the functions and regulatory mechanisms of RNAs. Recent advances have shown great promise in applying computational methods based on deep learning for accurat...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
With the growing popularity of artificial intelligence in drug discovery, many deep-learning technologies have been used to automatically predict unknown drug-target interactions (DTIs). A unique challenge in using these technologies to predict DTI i...
IEEE/ACM transactions on computational biology and bioinformatics
Dec 25, 2023
Learning representations from data is a fundamental step for machine learning. High-quality and robust drug representations can broaden the understanding of pharmacology, and improve the modeling of multiple drug-related prediction tasks, which furth...