Abstract. We present a simple statistical model of molecular function evolution to predict pro- tein function. The model description en-.
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Jun 25, 2006 · The model description encodes general knowledge of how molecular function evolves within a phylogenetic tree based on the proteins' sequence.
We present a simple statistical model of molecular function evolution to predict protein function. The model description encodes general knowledge of how ...
May 26, 2021 · Here, we describe a method based on GCNs for functionally annotating proteins and detecting functional regions in proteins, termed Deep ...
Abstract. In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov.
We present a statistical graphical model to infer specific molecular function for unannotated protein sequences using homology.
Oct 7, 2005 · We present a statistical graphical model to infer specific molecular function for unannotated protein sequences using homology.
We used a shortest-path graph kernel to compare graphs and then used it to train SVM predictors for protein function prediction. We demonstrated the usefulness ...
It is widely believed that the protein structures play key roles in determining the functions, activity, stability and subcellular localization of the ...
Oct 17, 2023 · To address this, this article proposes the Struct2GO model, which combines protein structure and sequence data to enhance the precision of ...