Πλοήγηση ανά Θέμα "Markov Chains"
Αποτελέσματα 1-9 από 9
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The complex evolutionary history of aminoacyl-tRNA synthetases
(2017)Aminoacyl-tRNA synthetases (AARSs) are a superfamily of enzymes responsible for the faithful translation of the genetic code and have lately become a prominent target for synthetic biologists. Our largescale analysis of > ... -
Extending hidden Markov models to allow conditioning on previous observations
(2018)Hidden Markov Models (HMMs) are probabilistic models widely used in computational molecular biology. However, the Markovian assumption regarding transition probabilities which dictates that the observed symbol depends only ... -
How Many 3D Structures Do We Need to Train a Predictor?
(2009)It has been shown that the progress in the determination of membrane protein structure grows exponentially, with approximately the same growth rate as that of the water-soluble proteins. In order to investigate the effect ... -
NAT/NCS2-hound: a webserver for the detection and evolutionary classification of prokaryotic and eukaryotic nucleobase-cation symporters of the NAT/NCS2 family
(2018)Nucleobase transporters are important for supplying the cell with purines and/or pyrimidines, for controlling the intracellular pool of nucleotides, and for obtaining exogenous nitrogen/carbon sources for metabolism. ... -
PRED-TMBB2: Improved topology prediction and detection of beta-barrel outer membrane proteins
(2016)Motivation: The PRED-TMBB method is based on Hidden Markov Models and is capable of predicting the topology of beta-barrel outer membrane proteins and discriminate them from water-soluble ones. Here, we present an updated ... -
Predicting alpha helical transmembrane proteins using HMMs
(2017)Alpha helical transmembrane (TM) proteins constitute an important structural class of membrane proteins involved in a wide variety of cellular functions. The prediction of their transmembrane topology, as well as their ... -
Predicting beta barrel transmembrane proteins using HMMs
(2017)Transmembrane beta-barrels (TMBBs) constitute an important structural class of membrane proteins located in the outer membrane of gram-negative bacteria, and in the outer membrane of chloroplasts and mitochondria. They are ... -
Prediction of cell wall sorting signals in gram-positive bacteria with a hidden markov model: Application to complete genomes
(2008)Surface proteins in Gram-positive bacteria are frequently implicated in virulence. We have focused on a group of extracellular cell wall-attached proteins (CWPs), containing an LPXTG motif for cleavage and covalent coupling ... -
Semi-supervised learning of hidden markov models for biological sequence analysis
(2019)Motivation: Hidden Markov Models (HMMs) are probabilistic models widely used in applications in computational sequence analysis. HMMs are basically unsupervised models. However, in the most important applications, they are ...