Domains, motifs and clusters in the protein universe
The rapid growth of bio-sequence information has resulted in an increasing demand for
reliable methods that group proteins. A few databases with curated alignments of protein …
reliable methods that group proteins. A few databases with curated alignments of protein …
Artificial neural networks trained to detect viral and phage structural proteins
V Seguritan, N Alves Jr, M Arnoult, A Raymond… - 2012 - journals.plos.org
Phages play critical roles in the survival and pathogenicity of their hosts, via lysogenic
conversion factors, and in nutrient redistribution, via cell lysis. Analyses of phage-and viral …
conversion factors, and in nutrient redistribution, via cell lysis. Analyses of phage-and viral …
Repeats with variations: accelerated evolution of the Pin2 family of proteinase inhibitors
The Pin2 genes encode potato type II proteinase inhibitors that act against pathogenic
attack. The first examples were found only in the Solanaceae family, but, using new EST and …
attack. The first examples were found only in the Solanaceae family, but, using new EST and …
Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq data
Integrating large-scale functional genomic data has significantly accelerated our
understanding of gene functions. However, no algorithm has been developed to differentiate …
understanding of gene functions. However, no algorithm has been developed to differentiate …
Artificial neural network in drug delivery and pharmaceutical research
V Sutariya, A Groshev, P Sadana… - The Open …, 2013 - benthamopen.com
Artificial neural networks (ANNs) technology models the pattern recognition capabilities of
the neural networks of the brain. Similarly to a single neuron in the brain, artificial neuron …
the neural networks of the brain. Similarly to a single neuron in the brain, artificial neuron …
CHOP proteins into structural domain‐like fragments
We developed a method CHOP dissecting proteins into domain‐like fragments. The basic
idea was to cut proteins beginning from very reliable experimental information (PDB) …
idea was to cut proteins beginning from very reliable experimental information (PDB) …
Automatic prediction of protein domains from sequence information using a hybrid learning system
N Nagarajan, G Yona - Bioinformatics, 2004 - academic.oup.com
Motivation: We describe a novel method for detecting the domain structure of a protein from
sequence information alone. The method is based on analyzing multiple sequence …
sequence information alone. The method is based on analyzing multiple sequence …
Georeferencing of historical maps using back propagation artificial neural network
Historical maps as cartographic heritage contain a great deal of information about the period
they were produced in. Therefore, it is quite important first to conserve historical maps very …
they were produced in. Therefore, it is quite important first to conserve historical maps very …
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background Incorrectly annotated sequence data are becoming more commonplace as
databases increasingly rely on automated techniques for annotation. Hence, there is an …
databases increasingly rely on automated techniques for annotation. Hence, there is an …
Methodology development for predicting subcellular localization and other attributes of proteins
Facing the explosion of newly generated protein sequences in the postgenomic age, we are
challenged to develop computational methods for the fast and accurate identification of their …
challenged to develop computational methods for the fast and accurate identification of their …