We consider two ways of applying machine learning to facilitate protein structure prediction. We argue that a straightforward approach will not be able to ...
Constructive Induction and Protein. Tertiary ... One of the ultimate goals of computational biology is to predict the tertiary structure of a protein from.
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Predicting the fold, or approximate 3D structure, of a protein from its amino acid sequence is an important problem in biology. The homology modeling approach ...
Transmembrane Segment Prediction from Protein Sequence Data. March 15 ... Constructive Induction and Protein Tertiary Structure Prediction. March 15 ...
Oct 13, 2023 · The results show that it performs substantially better in predicting the tertiary structures of protein mutants than the widely used protein ...
Protein secondary structure prediction is addressed as a sub task in determining the protein tertiary structure and function. In this paper, a novel algorithm, ...
Constructive and destructive interference in spontaneous emission from a three-level atom · Constructive induction and protein tertiary structure prediction.
The potential RNA aptamers predicted by our method reveal similar secondary and protein-binding structures as the actual RNA aptamers. The RF model showed a ...
Rendell, Shankar Subramaniam: Constructive Induction and Protein Tertiary Structure Prediction. 198-206 BibTeX · Peter D. Karp, Monica Riley: Representations ...
Abstract: Machine learning is widely applied in drug discovery research to predict molecular properties and aid in the identification of active compounds.