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BMCBI
2010
142views more  BMCBI 2010»
13 years 4 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto
BMCBI
2010
111views more  BMCBI 2010»
13 years 4 months ago
Protein sequences classification by means of feature extraction with substitution matrices
Background: This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used ...
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Ngu...
ISMB
1993
13 years 5 months ago
Protein Classification Using Neural Networks
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
Edgardo A. Ferrán, Pascual Ferrara, Bernard...
APVIS
2004
13 years 6 months ago
An Interactive Visualisation for Investigating DNA Sequence Information
1 The sequence of nucleotides that makes up a DNA molecule encodes the characteristics of living things. Bioinformatics offers sophisticated methods to search for and compare nucl...
Paul Rutherford, Clare Churcher, John McCallum
BIRD
2008
Springer
109views Bioinformatics» more  BIRD 2008»
13 years 6 months ago
A Robust Class of Stable Proteins in the 2D HPC Model
The inverse protein folding problem is that of designing an amino acid sequence which has a prescribed native protein fold. This problem arises in drug design where a particular st...
Alireza Hadj Khodabakhshi, Ján Manuch, Aras...
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Mining Quantitative Association Rules in Protein Sequences
Abstract. Lot of research has gone into understanding the composition and nature of proteins, still many things remain to be understood satisfactorily. It is now generally believed...
Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra M...
AINA
2006
IEEE
13 years 8 months ago
Accelerating HMMer searches on Opteron processors with minimally invasive recoding
HMMer is a widely used tool for protein sequence homology detection, as well as functional annotation of homologous protein sequences, and protein family classification. The HMMer...
Joseph I. Landman, Joydeep Ray, John Paul Walters
DMKD
2003
ACM
110views Data Mining» more  DMKD 2003»
13 years 9 months ago
Weave amino acid sequences for protein secondary structure prediction
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
Xiaochun Yang, Bin Wang
CSB
2003
IEEE
13 years 9 months ago
A New Similarity Measure among Protein Sequences
Protein sequence analysis is an important tool to decode the logic of life. One of the most important similarity measures in this area is the edit distance between amino acids of ...
Kuen-Pin Wu, Hsin-Nan Lin, Ting-Yi Sung, Wen-Lian ...
PRICAI
2004
Springer
13 years 10 months ago
Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang