Anticancer peptides (ACPs) are being widely studied as potential peptide-based anticancer agents because of their ability to interact selectively with cancer cells. Despite this promise, computational identification of ACPs and prediction of their cancer-type activity remain difficult, mainly because available peptide...
DNA binding proteins play essential roles in numerous biological mechanisms. The DBPs can be either single-stranded binding (SSBs) or double-stranded binding (DSBs) to a DNA molecule. The in-depth identification of SSBs and DSBs has been a hot topic in bioinformatics and is involved in the drug discovery process. Tradi...
K. Arshad, Muhammad Arif, A. Worachartcheewan et al.· ACS Omega· 0 citations
The enzyme kinetic parameters, including the turnover number, Michaelis constant, and inhibition constant, are key metrics for assessing catalytic performance. Although deep learning models have recently incorporated multimodal information from enzymes and substrates to predict these parameters, several obstacles still...
Cheng-Hao Zhu, Weiping Ding, Wei Zhang et al.· Journal of Chemical Informat...· 0 citations
Deep3MVPF, a multiview deep learning framework for 3'UTR stability prediction and m6A site identification, integrates a multiscale convolutional neural network, a k-mer de Bruijn graph neural network, and a secondary-structure graph neural network to jointly model sequence, topological, and structural representations.
Jun-Yi Liu, Qi Zhang, Jiangning Song et al.· Journal of Chemical Informat...· 0 citations
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