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BMCBI
2008
87views more  BMCBI 2008»
14 years 12 months ago
Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information
Background: As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs), increases rapidly, computational method...
Jing Hu, Changhui Yan
ISMIS
2005
Springer
15 years 5 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
BIBE
2005
IEEE
121views Bioinformatics» more  BIBE 2005»
15 years 5 months ago
RNA Pseudoknot Prediction Using Term Rewriting
RNA plays a critical role in mediating every step of cellular information transfer from genes to functional proteins. Pseudoknots are widely occurring structural motifs found in a...
Xuezheng Fu, Hao Wang, William L. Harrison, Robert...
ISMB
1994
15 years 1 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
BIOINFORMATICS
2011
14 years 3 months ago
ProDy: Protein Dynamics Inferred from Theory and Experiments
Summary: We developed a Python package, ProDy, for structurebased analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heteroge...
Ahmet Bakan, Lidio M. Meireles, Ivet Bahar