Results 21 to 30 of about 101,248 (253)

Prediction of membrane protein types and subcellular locations [PDF]

Proteins: Structure, Function, and Genetics, 1999
Membrane proteins are classified according to two different schemes. In scheme 1, they are discriminated among the following five types: (1) type I single-pass transmembrane, (2) type II single-pass transmembrane, (3) multipass transmembrane, (4) lipid chain-anchored membrane, and (5) GPI-anchored membrane proteins.
K C, Chou, D W, Elrod
openaire   +2 more sources

Predicting subcellular location of protein with evolution information and sequence-based deep learning

BMC Bioinformatics, 2021
Background Protein subcellular localization prediction plays an important role in biology research. Since traditional methods are laborious and time-consuming, many machine learning-based prediction methods have been proposed.
Zhijun Liao, Gaofeng Pan, Chao Sun, Jijun Tang   +3 more
doaj   +1 more source

Fluorescent protein tagging as a tool to define the subcellular distribution of proteins in plants

Frontiers in Plant Science, 2013
Fluorescent protein (FP) tagging approaches are widely used to determine the subcellular location of plant proteins. Here we give a brief overview of FP approaches, highlight potential technical problems, and discuss what to consider when designing FP ...
Sandra Karin Tanz, Ian eCastleden, Ian D. Small, Ian D. Small, A. Harvey eMillar, A. Harvey eMillar, A. Harvey eMillar   +6 more
doaj   +1 more source

DeepmRNALoc: A Novel Predictor of Eukaryotic mRNA Subcellular Localization Based on Deep Learning

Molecules, 2023
The subcellular localization of messenger RNA (mRNA) precisely controls where protein products are synthesized and where they function. However, obtaining an mRNA’s subcellular localization through wet-lab experiments is time-consuming and expensive, and
Shihang Wang, Zhehan Shen, Taigang Liu, Wei Long, Linhua Jiang, Sihua Peng   +5 more
doaj   +1 more source

Boosting accuracy of automated classification of fluorescence microscope images for location proteomics

BMC Bioinformatics, 2004
Background Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination with methods for fluorescent tagging, is the most suitable current method for
Huang Kai, Murphy Robert F
doaj   +1 more source

Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence

BMC Bioinformatics, 2006
Background Knowing the submitochondria localization of a mitochondria protein is an important step to understand its function. We develop a method which is based on an extended version of pseudo-amino acid composition to predict the protein localization ...
Li Yanda, Du Pufeng
doaj   +1 more source

Evidence for the adaptation of protein pH-dependence to subcellular pH

BMC Biology, 2009
Background The availability of genome sequences, and inferred protein coding genes, has led to several proteome-wide studies of isoelectric points. Generally, isoelectric points are distributed following variations on a biomodal theme that originates ...
Warwicker Jim, Chan Pedro
doaj   +1 more source

Multi-class subcellular location prediction for bacterial proteins [PDF]

Bioinformation, 2006
Two algorithms, based onBayesian Networks (BNs), for bacterial subcellular location prediction, are explored in this paper: one predicts all locations for Gram+ bacteria and the other all locations for Gram- bacteria. Methods were evaluated using different numbers of residues (from the N-terminal 10 residues to the whole sequence) and residue ...
Taylor, P.D., Attwood, T.K.; id_orcid 0000-0003-2409-4235, Flower, D.R.   +2 more
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PSI: a comprehensive and integrative approach for accurate plant subcellular localization prediction. [PDF]

PLoS ONE, 2013
Predicting the subcellular localization of proteins conquers the major drawbacks of high-throughput localization experiments that are costly and time-consuming. However, current subcellular localization predictors are limited in scope and accuracy.
Lili Liu, Zijun Zhang, Qian Mei, Ming Chen   +3 more
doaj   +1 more source

Objective Clustering of Proteins Based on Subcellular Location Patterns [PDF]

BioMed Research International, 2005
The goal of proteomics is the complete characterization of all proteins. Efforts to characterize subcellular location have been limited to assigning proteins to general categories of organelles. We have previously designed numerical features to describe location patterns in microscope images and developed automated classifiers that distinguish major ...
Chen, Xiang, Murphy, Robert F.
openaire   +2 more sources