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1. ECDomainMiner: discovering hidden associations between enzyme commission numbers and Pfam domains

作者： Seyed Ziaeddin Alborzi ; Marie-Dominique Devignes ; David W. Ritchie

关键词：Content ; based filtering ; Protein domain ; Protein function ; Enzyme commission number ; Pfam domain

刊名：BMC Bioinformatics

出版年：2017

2. CLAP: A web-server for automatic classification of proteins with special reference to multi-domain proteins

作者：Mutharasu Gnanavel (10) (14)
Prachi Mehrotra (10) (11)
Ramaswamy Rakshambikai (10)
Juliette Martin (12)
Narayanaswamy Srinivasan (10)
Ramachandra M Bhaskara (10) (13) (15)

10. Molecular Biophysics Unit ; Indian Institute of Science ; Bangalore ; 560012 ; India
14. Molecular Signaling Lab ; Signal Processing Department ; Tampere University of Technology ; Tampere ; Finland
11. IISc Mathematics Initiative ; Indian Institute of Science ; Bangalore ; 560012 ; India
12. Bases Mol茅culaires et Structurales des Syst猫mes Infectieux ; CNRS ; UMR 5086 ; Universit茅 Lyon 1 ; IBCP ; 7 passage du Vercors ; F-69367 ; Lyon Cedex 07 ; France
13. National Center for Biological Sciences ; Tata Institute of Fundamental Research ; GKVK ; Bangalore ; 560065 ; India
15. Department of Theoretical Biophysics ; Max-Planck Institute of Biophysics ; Max-von-Laue-Stra尾e 3 ; D-60438 ; Frankfurt am Main ; Germany

关键词：Alignment ; free comparison ; Domain architectures ; Multi ; domain proteins ; Protein classification

刊名：BMC Bioinformatics

出版年：2014

3. Exact Protein Structure Classification Using the Maximum Contact Map Overlap Metric

作者：Inken Wohlers (20)
Mathilde Le Boudic-Jamin (21)
Hristo Djidjev (22)
Gunnar W. Klau (23)
Rumen Andonov (21)

关键词：k ; nearest neighbours ; metric spaces ; maximum contact map overlap ; automatic classification of proteins

刊名：Lecture Notes in Computer Science

出版年：2014

4. Automatic classification of protein structures using physicochemical parameters

作者： Abhilash Mohan ; M. Divya Rao…

关键词：protein classification ; machine learning algorithms ; physicochemical parameters ; feature selection ; svm ; random forest ; na?ve bayes ; decision tree ; SCOP classification ; Pfam classification

刊名：Interdisciplinary Sciences: Computational Life Sciences

出版年：2014

5. Automatic classification of protein structures using low-dimensional structure space mappings

作者：Daniel Asarnow (1)
Rahul Singh (1) (2)

刊名：BMC Bioinformatics

出版年：2014

6. An empirical study on the matrix-based protein representations and their combination with sequence-based approaches

作者：Loris Nanni (1)
Alessandra Lumini (2)
Sheryl Brahnam (3)

关键词：Proteins classification ; Machine learning ; Ensemble of classifiers ; Support vector machines

刊名：Amino Acids

出版年：2013

7. Prediction of membrane proteins using split amino acid and ensemble classification

作者：Maqsood Hayat (1) maqsood.hayat@pieas.edu.pk
Asifullah Khan (1) asif@pieas.edu.pk
Mohammed Yeasin (2) myeasin@memphis.edu

关键词：Membrane protein types – ; Split amino acid – ; Discrete wavelet transform – ; Pseudo amino acid composition – ; Neural networks – ; Ensemble classifier – ; Random forest

刊名：Amino Acids

出版年：2012

8. Structural updates of alignment of protein domains and consequences on evolutionary models of domain superfamilies

作者：Eshita Mutt (1) (2)
Sudha Sane Rani (1) (3)
Ramanathan Sowdhamini (1)

关键词：PASS2 database ; Protein domain ; Length variations ; Insertions ; Deletions

刊名：BioData Mining

出版年：2013

9. Automatic classification of protein structures relying on similarities between alignments

作者：Guillaume Santini (1)
Henry Soldano (1) (2)
Jo?l Pothier (2)

刊名：BMC Bioinformatics

出版年：2012

10. wKinMut: An integrated tool for the analysis and interpretation of mutations in human protein kinases

作者：Jose MG Izarzugaza (1) (2)
Miguel Vazquez (1)
Angela del Pozo (1)
Alfonso Valencia (1)

刊名：BMC Bioinformatics

出版年：2013

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