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» Protein secondary structure prediction using neural networks
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BMCBI
2010
150views more  BMCBI 2010»
13 years 9 months ago
Automatic structure classification of small proteins using random forest
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
Pooja Jain, Jonathan D. Hirst
CIBCB
2005
IEEE
14 years 2 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
ADC
2007
Springer
125views Database» more  ADC 2007»
14 years 3 months ago
Building a Disordered Protein Database: A Case Study in Managing Biological Data
A huge diversity of biological databases is available via the Internet, but many of these databases have been developed in an ad hoc manner rather than in accordance with any data...
Arran D. Stewart, Xiuzhen Zhang
BMCBI
2004
73views more  BMCBI 2004»
13 years 9 months ago
Use of a structural alphabet for analysis of short loops connecting repetitive structures
Background: Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, ...
Laurent Fourrier, Cristina Benros, Alexandre G. de...
NAR
2007
153views more  NAR 2007»
13 years 8 months ago
PROMALS web server for accurate multiple protein sequence alignments
Multiple sequence alignments are essential in homology inference, structure modeling, functional prediction and phylogenetic analysis. We developed a web server that constructs mu...
Jimin Pei, Bong-Hyun Kim, Ming Tang, Nick V. Grish...