Abstract: The electromagnetic analysis of complex transmission line networks requires sophisticated modeling tools. Although the existing ones are useful, handling real-scale networks is still a ...
UML Diagrams are considered as a main component in requirement engineering process and these become an industry standard in many organizations. UML diagrams are useful to show an interaction, behavior ...
Beijing Key Laboratory for Green Catalysis and Separation, The Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, P. R. China ...
Developing new drugs is too expensive and time -consuming. Accurately predicting the interaction between drugs and targets will likely change how the drug is discovered. Machine learning-based protein ...
This repository contains the code and resources for our study on predicting drug-drug interactions (DDIs) using the PS3N model. Our approach leverages protein sequence and structure information to ...
Abstract: MicroRNA (miRNA) is an endogenous small noncoding RNA that plays an important role in gene expression through the post-transcriptional gene regulation pathways. There are many literature ...
Proteins accomplish cellular functions by interacting with each other, which makes the prediction of interaction sites a fundamental problem. Computational prediction of the interaction sites has been ...
PHIStruct is a phage-host interaction prediction tool that uses structure-aware protein embeddings to represent the receptor-binding proteins (RBPs) of phages. By incorporating structure information, ...
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