AIMC Topic: Malonates

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Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites.

Genomics, proteomics & bioinformatics Jan 11, 2019
As a newly-identified protein post-translational modification, malonylation is involved in a variety of biological functions. Recognizing malonylation sites in substrates represents an initial but crucial step in elucidating the molecular mechanisms ...
Machine Learning Forecasting Animals Deep Learning Protein Processing, Post-Translational Amino Acids Amino Acid Sequence Lysine Malonates
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Predicting lysine-malonylation sites of proteins using sequence and predicted structural features.

Journal of computational chemistry May 14, 2018
Malonylation is a recently discovered post-translational modification (PTM) in which a malonyl group attaches to a lysine (K) amino acid residue of a protein. In this work, a novel machine learning model, SPRINT-Mal, is developed to predict malonylat...
Humans Machine Learning Animals Mice Protein Processing, Post-Translational Molecular Structure Bacterial Proteins Lysine Malonates Hominidae Saccharopolyspora
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Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.

Briefings in bioinformatics Nov 27, 2019
As a newly discovered post-translational modification (PTM), lysine malonylation (Kmal) regulates a myriad of cellular processes from prokaryotes to eukaryotes and has important implications in human diseases. Despite its functional significance, com...
Humans Machine Learning Animals Computational Biology Lysine Malonates
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