Search results
Results from the WOW.Com Content Network
In academia, computational immunology is a field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology.The field's main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations.
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]
The GOR method analyzes sequences to predict alpha helix, beta sheet, turn, or random coil secondary structure at each position based on 17-amino-acid sequence windows. The original description of the method included four scoring matrices of size 17×20, where the columns correspond to the log-odds score, which reflects the probability of finding a given amino acid at each position in the 17 ...
Predict the probability that particular portions of a protein will form amyloid. sequence length Amyloidogenic regions FoldAmyloid [17] 2010 Web Server - FoldAmyloid: Secondary structure-related. Prediction of amyloid regions using expected probability of hydrogen bonds formation and packing densitites of residues. sequence
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 ...
Immunomics is the study of immune system regulation and response to pathogens using genome-wide approaches.With the rise of genomic and proteomic technologies, scientists have been able to visualize biological networks and infer interrelationships between genes and/or proteins; recently, these technologies have been used to help better understand how the immune system functions and how it is ...
The Chou–Fasman method is an empirical technique for the prediction of secondary structures in proteins, originally developed in the 1970s by Peter Y. Chou and Gerald D. Fasman. [ 1 ] [ 2 ] [ 3 ] The method is based on analyses of the relative frequencies of each amino acid in alpha helices , beta sheets , and turns based on known protein ...
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine learning methods in its algorithm. [ 2 ] [ 3 ] [ 4 ] It is a server-side program, featuring a website serving as a front-end interface, which can predict a protein's secondary structure ( beta ...