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In molecular biology, palmitoylation is the covalent attachment of fatty acids, such as palmitic acid, to cysteine (S-palmitoylation) and less frequently to serine and threonine (O-palmitoylation) residues of proteins, which are typically membrane proteins. [2] The precise function of palmitoylation depends on the particular protein being ...
The University of Minnesota Pathway Prediction System (UM-PPS) is a web tool that recognizes functional groups in organic compounds that are potential targets of microbial catabolic reactions and predicts transformations of these groups based on biotransformation rules. Multi-level predictions are made. (bio.tools entry) [116]
In palmitoleoylation, a palmitoleoyl group (derived from palmitoleic acid, pictured above) is added.. Palmitoleoylation is type of protein lipidation where the monounsaturated fatty acid palmitoleic acid is covalently attached to serine or threonine residues of proteins.
Some members of the family such as ZDHHC3 and ZDHHC7 enhance palmitoylation of proteins such as PSD-95, SNAP-25, GAP43, Gαs. Others such as ZDHHC9 showed specificity only toward the H-Ras protein. [3] However, a recent study questions the involvement of classical enzyme-substrate recognition and specificity in the palmitoylation reaction. [4]
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
Name Method description Type Link Initial release RaptorX-SS8 : predict both 3-state and 8-state secondary structure using conditional neural fields from PSI-BLAST profiles ...
Accurate prediction of protein function can have longstanding implications on biomedical and pharmaceutical research. The CAFA experiment is designed to provide unbiased assessment of computational methods, to stimulate research in computational function prediction, and provide insights into the overall state-of-the-art in function prediction.
An example of a multiple disease/pest forecasting system is the EPIdemiology, PREdiction, and PREvention (EPIPRE) system developed in the Netherlands for winter wheat that focused on multiple pathogens. [6] USPEST.org graphs risks of various plants diseases based on weather forecasts with hourly resolution of leaf wetness.