20.4.3 Extraction and Analysis of Proteins

Chapter Contents (Back)
Protein.

Thompson, R.[Richard],
A measure of shared information in classes of patterns,
PR(12), No. 6, 1980, pp. 369-379.
WWW Link. 0309
Insight into the patterns of variation in the amino acid sequences of proteins. BibRef

Leherte, L., Glasgow, J., Baxter, K., Steeg, E., and Fortier, S.,
Analysis of Three-Dimensional Protein Images,
JAIR(7), 1997, pp. 125-159.
HTML Version. BibRef 9700

Zaki, M.J., Jin, S.[Shan], Bystroff, C.,
Mining residue contacts in proteins using local structure predictions,
SMC-B(33), No. 5, October 2003, pp. 789-801.
IEEE Abstract. 0310
BibRef

Yang, Z.R.[Zheng Rong],
Orthogonal kernel Machine for the prediction of functional sites in proteins,
SMC-B(35), No. 1, February 2005, pp. 100-106.
IEEE Abstract. 0501
BibRef

Zhang, G.Z.[Guang-Zheng], Huang, D.S., Quan, Z.H.,
Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction,
PRL(26), No. 10, 15 July 2005, pp. 1543-1553.
WWW Link. 0506
BibRef

Zhang, G.Z.[Guang-Zheng], Huang, D.S., Zhu, Y.P., Li, Y.X.,
Improving protein secondary structure prediction by using the residue conformational classes,
PRL(26), No. 15, November 2005, pp. 2346-2352.
WWW Link. 0510
BibRef

Zhao, T., Velliste, M., Boland, M.V., Murphy, R.F.,
Object Type Recognition for Automated Analysis of Protein Subcellular Location,
IP(14), No. 9, September 2005, pp. 1351-1359.
IEEE DOI 0508
BibRef

Zacharakis, G., Ripoll, J., Weissleder, R., Ntziachristos, V.,
Fluorescent protein tomography scanner for small animal imaging,
MedImg(24), No. 7, July 2005, pp. 878-885.
IEEE DOI 0508
BibRef

Lozano, M.A., Escolano, F.,
Protein classification by matching and clustering surface graphs,
PR(39), No. 4, April 2006, pp. 539-551.
WWW Link. Protein classification; Graph matching; Energy minimization; Graph clustering; EM algorithms 0604
BibRef

Kim, J.K.[Jong Kyoung], Raghava, G.P.S., Bang, S.Y.[Sung-Yang], Choi, S.J.[Seung-Jin],
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine,
PRL(27), No. 9, July 2006, pp. 996-1001.
WWW Link. 0605
BibRef

Kim, J.K.[Jong Kyoung], Bang, S.Y.[Sung-Yang], Choi, S.J.[Seung-Jin],
Sequence-driven features for prediction of subcellular localization of proteins,
PR(39), No. 12, December 2006, pp. 2301-2311.
WWW Link. 0609
Protein sequence feature extraction; Subcellular localization prediction; Support vector machine BibRef

Vijaya, P.A., Murty, M.N.[M. Narasimha], Subramanian, D.K.,
Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification,
PR(39), No. 12, December 2006, pp. 2344-2355.
WWW Link. 0609
BibRef
Earlier:
An efficient technique for protein sequence clustering and classification,
ICPR04(II: 447-450).
IEEE DOI 0409
Hybrid clustering; Hierarchical structure; Protein sequences; Median strings/sequences; Prototypes; Feature selection; Classification accuracy BibRef

Khoja, R.[Rahim], Marolia, M.[Mehul], Acharya, T.[Tinku], Chakrabarti, C.[Chaitali],
A coprocessor architecture for fast protein structure prediction,
PR(39), No. 12, December 2006, pp. 2494-2505.
WWW Link. 0609
Protein structure prediction; PSIPRED; PSI BLAST; Neural network; VLSI architecture BibRef

Plötz, T.[Thomas], Fink, G.A.[Gernot A.],
Pattern Recognition methods for advanced stochastic protein sequence analysis using HMMs,
PR(39), No. 12, December 2006, pp. 2267-2280.
WWW Link. 0609
BibRef
Earlier:
Feature Extraction for Improved Profile HMM Based Biological Sequence Analysis,
ICPR04(II: 315-318).
IEEE DOI 0409
DNA sequencing. Protein sequence analysis; Probabilistic protein family modeling; HMM BibRef

Bergkvist, A.[Anders], Damaschke, P.[Peter],
Fast algorithms for finding disjoint subsequences with extremal densities,
PR(39), No. 12, December 2006, pp. 2281-2292.
WWW Link. 0609
Holes in data; Range prediction; Protein torsion angle; Protein structure prediction; Dynamic programming; Selection algorithms; Time complexity BibRef

Huang, D.S.[De-Shuang], Zhao, X.M.[Xing-Ming], Huang, G.B.[Guang-Bin], Cheung, Y.M.[Yiu-Ming],
Classifying protein sequences using hydropathy blocks,
PR(39), No. 12, December 2006, pp. 2293-2300.
WWW Link. 0609
Hydropathy blocks; Protein sequence classification; Support vector machine BibRef

Kurgan, L.A.[Lukasz A.], Homaeian, L.[Leila],
Prediction of structural classes for protein sequences and domains--Impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy,
PR(39), No. 12, December 2006, pp. 2323-2343.
WWW Link. 0609
Protein structural class; SCOP; Machine learning; Homology; Prediction; Secondary protein structure BibRef

Chen, C.Y.[Chien-Yu], Chung, W.C.[Wen-Chin], Su, C.T.[Chung-Tsai],
Exploiting homogeneity in protein sequence clusters for construction of protein family hierarchies,
PR(39), No. 12, December 2006, pp. 2356-2369.
WWW Link. 0609
Protein sequence clustering; Family analysis; Hierarchical algorithm BibRef

Baldacci, L., Golfarelli, M., Lumini, A., Rizzi, S.,
Clustering techniques for protein surfaces,
PR(39), No. 12, December 2006, pp. 2370-2382.
WWW Link. 0609
BibRef
Earlier:
A Template-Matching Approach for Protein Surface Clustering,
ICPR06(III: 340-343).
IEEE DOI 0609
Clustering; Region growing; Template matching; Protein surface BibRef

Mundra, P.[Piyushkumar], Kumar, M.[Madhan], Kumar, K.K.[K. Krishna], Jayaraman, V.K.[Valadi K.], Kulkarni, B.D.[Bhaskar D.],
Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM,
PRL(28), No. 13, 1 October 2007, pp. 1610-1615.
WWW Link. 0709
Nuclear protein; Subnuclear localization; Multiclass SVM; Factor solution score; PSSM BibRef

Karnik, S.[Shreyas], Mitra, J.[Joydeep], Singh, A.[Arunima], Kulkarni, B.D., Sundarajan, V., Jayaraman, V.K.,
Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests,
PReMI09(146-151).
Springer DOI 0912
BibRef

Karnik, S.[Shreyas], Prasad, A.[Ajay], Diwevedi, A.[Alok], Sundararajan, V., Jayaraman, V.K.,
Identification of Defensins Employing Recurrence Quantification Analysis and Random Forest Classifiers,
PReMI09(152-157).
Springer DOI 0912
BibRef

McLaren, G.[Gina], Ellis, R.[Robert], Douglass, J.W.[James W.], Riding, T.J.[Thomas J.], Ring, J.E.[James E.],
Automated detection of objects in a biological sample,
US_Patent7,177,454, Feb 13, 2007
WWW Link. Proteins. BibRef 0702

Li, Y.L.[Yun-Lei], de Ridder, D.[Dick], Duin, R.P.W.[Robert P.W.], Reinders, M.J.T.[Marcel J.T.],
Integration of prior knowledge of measurement noise in kernel density classification,
PR(41), No. 1, January 2008, pp. 320-330.
WWW Link. 0710
Prior knowledge; Measurement noise; Kernel method; Parzen; Protein complex; mRNA co-expression coefficient BibRef

Tsai, C.Y.[Chieh-Yuan], Chiu, C.C.[Chuang-Cheng],
An efficient conserved region detection method for multiple protein sequences using principal component analysis and wavelet transform,
PRL(29), No. 5, 1 April 2008, pp. 616-628.
WWW Link. 0802
Protein sequence analysis; Conserved region detection; Principal component analysis; Wavelet transform BibRef

Savvides, A.[Alexios], Promponas, V.J.[Vasilis J.], Fokianos, K.[Konstantinos],
Clustering of biological time series by cepstral coefficients based distances,
PR(41), No. 7, July 2008, pp. 2398-2412.
WWW Link. 0804
Exponential model; Likelihood; Distance measures; Spectral analysis; Periodogram; Data mining; Protein sequence analysis BibRef

Ding, Y.S.[Yong-Sheng], Zhang, T.L.[Tong-Liang],
Using Chou's pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier,
PRL(29), No. 13, 1 October 2008, pp. 1887-1892.
WWW Link. 0804
Apoptosis protein subcellular location; Pseudo amino acid composition; Approximate entropy; Ensemble classifier; Fuzzy K-nearest neighbor classifier BibRef

Buske, F.A.[Fabian A.], Maetschke, S.[Stefan], Boden, M.[Mikael],
It's about time: Signal recognition in staged models of protein translocation,
PR(42), No. 4, April 2009, pp. 567-574.
Elsevier DOI 0812
Bioinformatics; Machine learning; Protein secretory pathway; Signal peptide; Conditional random field; Amino acid sequence BibRef

von Wegner, F., Schurmann, S., Fink, R.H.A., Vogel, M., Friedrich, O.,
Motor Protein Function in Skeletal Muscle: A Multiple Scale Approach to Contractility,
MedImg(28), No. 10, October 2009, pp. 1632-1642.
IEEE DOI 0910
BibRef

Barash, E., Dinn, S., Sevinsky, C., Ginty, F.,
Multiplexed Analysis of Proteins in Tissue Using Multispectral Fluorescence Imaging,
MedImg(29), No. 8, August 2010, pp. 1457-1462.
IEEE DOI 1008
BibRef

Sabarinathan, R., Banerjee, N.[Nirjhar], Balakrishnan, N., Sekar, K.,
An algorithm to find distant repeats in a pair of protein sequences,
PRL(31), No. 14, 15 October 2010, pp. 2161-2169.
Elsevier DOI 1003
Distant repeats; Protein sequences; PAM matrix BibRef

Diniz, M.C.[Michely C.], Pacheco, A.C.L.[Ana Carolina L.], Girao, K.T.[Karen T.], Araujo, F.F.[Fabiana F.], Walter, C.A.[Cezar A.], Oliveira, D.M.[Diana M.],
The tetratricopeptide repeats (TPR)-like superfamily of proteins in Leishmania spp., as revealed by multi-relational data mining,
PRL(31), No. 14, 15 October 2010, pp. 2178-2189.
Elsevier DOI 1003
Multi-relational data mining; Hidden Markov models; Viterbi algorithm; Tetratricopeptide repeat motif; Leishmania proteins BibRef

Wang, H.Y.[Hai-Ying], Zheng, H.[Huiru], Browne, F.[Fiona], Glass, D.H.[David H.], Azuaje, F.[Francisco],
Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks,
PRL(31), No. 14, 15 October 2010, pp. 2073-2082.
Elsevier DOI 1003
Gene ontology; Protein interaction networks; Bayesian networks; Classification BibRef

Jancura, P.[Pavol], Marchiori, E.[Elena],
Dividing protein interaction networks for modular network comparative analysis,
PRL(31), No. 14, 15 October 2010, pp. 2083-2096.
Elsevier DOI 1003
Protein interaction network division; Modular network alignment; Conserved protein complexes BibRef

Anand, A.[Ashish], Pugalenthi, G.[Ganesan], Fogel, G.B.[Gary B.], Suganthan, P.N.,
Identification and analysis of transcription factor family-specific features derived from DNA and protein information,
PRL(31), No. 14, 15 October 2010, pp. 2097-2102.
Elsevier DOI 1003
Transcription factor; TF family-specific features; TF-TFBS interaction; Multi-class classification; TFBS; Feature selection BibRef

Horst, J.A.[Jeremy A.], Samudrala, R.[Ram],
A protein sequence meta-functional signature for calcium binding residue prediction,
PRL(31), No. 14, 15 October 2010, pp. 2103-2112.
Elsevier DOI 1003
Protein sequence analysis; Protein function prediction; Calcium; Protein binding site; Functional signature BibRef

Pietrosemoli, N., Lopez, D., Segura-Cabrera, A., Pazos, F.,
Computational Prediction of Important Regions in Protein Sequences,
SPMag(29), No. 3, 2012, pp. 143-147.
IEEE DOI 1210
Life Sciences. BibRef

Lei, Y.K.[Ying-Ke], You, Z.H.[Zhu-Hong], Dong, T.[Tianbao], Jiang, Y.X.[Yun-Xiao], Yang, J.A.[Jun-An],
Increasing reliability of protein interactome by fast manifold embedding,
PRL(34), No. 4, 1 March 2013, pp. 372-379.
Elsevier DOI 1302
Protein-protein interaction (PPI); Manifold embedding; Fast isometric feature mapping (Fast ISOMAP); False positive (FP) BibRef

Cantoni, V., Ferone, A., Ozbudak, O., Petrosino, A.,
Protein motifs retrieval by SS terns occurrences,
PRL(34), No. 5, 1 April 2013, pp. 559-563.
Elsevier DOI 1303
Protein motif retrieval; Secondary Structures; Similarity search; Generalized Hough Transform; Pattern recognition; Structural biology BibRef

Dou, H.[Hang], Baker, M.L.[Matthew L.], Ju, T.[Tao],
Graph-based deformable matching of 3D line with application in protein fitting,
VC(31), No. 6-8, June 2015, pp. 967-977.
WWW Link. 1506
BibRef
And: Erratum: VC(31), No. 11, November 2015, pp. 1567.
WWW Link. 1512
BibRef

Mallek, S.[Sabrine], Boukhris, I.[Imen], Elouedi, Z.[Zied],
Community detection for graph-based similarity: Application to protein binding pockets classification,
PRL(62), No. 1, 2015, pp. 49-54.
Elsevier DOI 1507
Graph-based similarity BibRef

Suryanto, C.H.[Chendra Hadi], Fukui, K.[Kazuhiro], Hino, H.[Hideitsu],
Protein Fold Classification Using Large Margin Combination of Distance Metrics,
IEICE(E99-D), No. 3, March 2016, pp. 714-723.
WWW Link. 1604
BibRef
Earlier: A1, A3, A2:
Combination of Multiple Distance Measures for Protein Fold Classification,
ACPR13(440-445)
IEEE DOI 1408
biology computing BibRef

Punjani, A.[Ali], Brubaker, M.A.[Marcus A.], Fleet, D.J.[David J.],
Building Proteins in a Day: Efficient 3D Molecular Structure Estimation with Electron Cryomicroscopy,
PAMI(39), No. 4, April 2017, pp. 706-718.
IEEE DOI 1703
BibRef
Earlier: A2, A1, A3:
Building proteins in a day: Efficient 3D molecular reconstruction,
CVPR15(3099-3108)
IEEE DOI 1510
Computational modeling BibRef

Sun, D.[Dengdi], Liang, H.D.[Hua-Dong], Ge, M.L.[Mei-Ling], Ding, Z.L.[Zhuan-Lian], Cai, W.T.[Wan-Ting], Luo, B.[Bin],
Protein functional annotation refinement based on graph regularized l1-norm PCA,
PRL(87), No. 1, 2017, pp. 212-221.
Elsevier DOI 1703
Graph regularization BibRef


Li, H., Zhao, Y.M.[Yu-Ming], Bai, J., Zhang, J., Yang, J.,
Comparative study in complex network: Node degree and topological potential,
ICIVC17(928-932)
IEEE DOI 1708
Annealing, Indexes, Proteins, comparative study, complex network, node degree, topological, potential BibRef

Martino, A.[Alessio], Maiorino, E.[Enrico], Giuliani, A.[Alessandro], Giampieri, M.[Mauro], Rizzi, A.[Antonello],
Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information,
SCIA17(I: 285-296).
Springer DOI 1706
BibRef

Hossain, M.J.,
Keynote speaker: An experimental and computational framework to build a dynamic protein atlas for human cell division,
IVPR17(1-1)
IEEE DOI 1704
Biographies;Embryo;Engineering profession;Europe;Proteins;Software BibRef

Megrian, D.[Daniela], Aguilar, P.S.[Pablo S.], Lecumberry, F.[Federico],
Similarity Measure for Cell Membrane Fusion Proteins Identification,
CIARP16(257-265).
Springer DOI 1703
BibRef

Cucci, A.[Andrea], Lovato, P.[Pietro], Bicego, M.[Manuele],
Enriched Bag of Words for Protein Remote Homology Detection,
SSSPR16(463-473).
Springer DOI 1611
BibRef

Chatterjee, P.[Piyali], Basu, S.[Subhadip], Zubek, J.[Julian], Kundu, M.[Mahantapas], Nasipuri, M.[Mita], Plewczynski, D.[Dariusz],
PDP-RF: Protein Domain Boundary Prediction Using Random Forest Classifier,
PReMI15(441-450).
Springer DOI 1511
BibRef

Mazzocco, G.[Giovanni], Bhowmick, S.S.[Shib Sankar], Saha, I.[Indrajit], Maulik, U.[Ujjwal], Bhattacharjee, D.[Debotosh], Plewczynski, D.[Dariusz],
MaER: A New Ensemble Based Multiclass Classifier for Binding Activity Prediction of HLA Class II Proteins,
PReMI15(462-471).
Springer DOI 1511
BibRef

Mrozek, D.[Dariusz], Malysiak-Mrozek, B.[Bozena], Socha, B.[Bartek], Kozielski, S.[Stanislaw],
Selection of a Consensus Area Size for Multithreaded Wavefront-Based Alignment Procedure for Compressed Sequences of Protein Secondary Structures,
PReMI15(472-481).
Springer DOI 1511
BibRef

Cantoni, V., Ferone, A., Ozbudak, O., Petrosino, A.,
Search of protein structural blocks through secondary structure triplets,
IPTA12(222-226)
IEEE DOI 1503
Hough transforms BibRef

Penczek, P.A.[Pawel A.], Asturias, F.J.[Francisco J.],
Ab initio cryo-EM structure determination as a validation problem,
ICIP14(2090-2094)
IEEE DOI 1502
Biology BibRef

Gien, J.[Jing], Tang, Y.Y.[Yuan Yan], Client, C.L.P.[C.L. Philip], Lin, Y.[Yuewei],
Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction,
ICPR14(512-516)
IEEE DOI 1412
Feature extraction BibRef

Okada, K.[Kazunori], Flores, L.[Lorenzo], Wong, M.[Mike], Petkovic, D.[Dragutin],
Microenvironment-Based Protein Function Analysis by Random Forest,
ICPR14(3138-3143)
IEEE DOI 1412
Accuracy BibRef

Chamorro, A.E.M.[Alfonso E. Márquez], Divina, F.[Federico], Aguilar-Ruiz, J.S.[Jesús S.],
Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor,
CIARP13(II:166-173).
Springer DOI 1311
BibRef

Drago, G.[Giacomo], Ferretti, M.[Marco], Musci, M.[Mirto],
CCMS: A Greedy Approach to Motif Extraction,
PR-PS-BB13(363-371).
Springer DOI 1309
BibRef

Cantoni, V.[Virginio], Dimov, D.T.[Dimo T.],
Structural Blocks Retrieval in Macromolecules: Saliency and Precision Aspects,
PR-PS-BB13(372-380).
Springer DOI 1309
Molecular analysis BibRef

König, C.[Caroline], Cruz-Barbosa, R.[Raúl], Alquézar, R.[René], Vellido, A.[Alfredo],
SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences,
PR-PS-BB13(336-343).
Springer DOI 1309
G protein-coupled receptors BibRef

Nghiep, H.V., Hung, P.N., Ly, L.,
Structural Investigation of Supercooled Water Confined in Antifreeze Proteins: Models' Performance Evaluation between Coarse Grained and Atomistic Simulation Models,
PR-PS-BB13(344-355).
Springer DOI 1309
BibRef

Cantoni, V.[Virginio], Ferone, A.[Alessio], Petrosino, A.[Alfredo], Sanniti di Baja, G.[Gabriella],
A Supervised Approach to 3D Structural Classification of Proteins,
PR-PS-BB13(326-335).
Springer DOI 1309
BibRef

Laine, E.[Elodie], Carbone, A.[Alessandra],
Identification of Protein Interaction Partners from Shape Complementarity Molecular Cross-Docking,
PR-PS-BB13(318-325).
Springer DOI 1309
BibRef

Suryanto, C.H.[Chendra Hadi], Jiang, S.[Shukun], Fukui, K.[Kazuhiro],
Protein structure similarity based on multi-view images generated from 3D molecular visualization,
ICPR12(3447-3451).
WWW Link. 1302
BibRef

Cantoni, V.[Virginio], Ozbudak, O.[Ozlem], Ferone, A.[Alessio], Petrosino, A.[Alfredo],
Structural analysis of protein Secondary Structure by GHT,
ICPR12(1767-1770).
WWW Link. 1302
BibRef

Mavridis, L., Venkatraman, V., Ritchie, D.W., Morikawa, N., Andonov, R., Cornu, A., Malod-Dognin, N., Nicolas, J., Temerinac-Ott, M., Reisert, M., Burkhardt, H., Axenopoulos, A., Daras, P.,
SHREC'10 Track: Protein Model Classification,
EG3DOR10(117-124)
PDF File.
DOI Link 1301
BibRef

Toca, C.E.S.[Cosme E. Santiesteban], García-Borroto, M.[Milton], Ruiz, J.S.A.[Jesus S. Aguilar],
Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction,
MCPR12(166-175).
Springer DOI 1208
BibRef

Sturm, D.[Deborah], Jawad, M.[Mahdi], Alonso, A.[Alejandra], Corbo, C.[Chris],
A cytoskeleton linearity measure,
Southwest12(45-48).
IEEE DOI 1205
Study properties of proteins BibRef

Axenopoulos, A.[Apostolos], Daras, P.[Petros], Papadopoulos, G.[Georgios], Houstis, E.[Elias],
3D protein-protein docking using shape complementarity and fast alignment,
ICIP11(1569-1572).
IEEE DOI 1201
BibRef

Mirceva, G.[Georgina], Davcev, D.[Danco],
Incorporating several features in the protein ray descriptor for more accurate protein 3D structure retrieval,
3DOR10(51-56).
DOI Link 1111
BibRef

Vegas, E.[Esteban], Reverter, F.[Ferran], Oller, J.M.[Josep M.], Elías, J.M.[José M.],
A Comparison of Spectrum Kernel Machines for Protein Subnuclear Localization,
IbPRIA11(734-741).
Springer DOI 1106
BibRef

Guerra, C.[Concettina], Mina, M.[Marco],
Computational Methods for the Prediction of Protein-Protein Interactions,
IWCIA11(13-16).
Springer DOI 1105
BibRef

Sakar, O.[Okan], Kursun, O.[Olcay], Seker, H.[Huseyin], Gurgen, F.[Fikret],
Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection,
ICPR10(2572-2575).
IEEE DOI 1008
BibRef

Mamidipally, C.[Chandrasekhar], Noronha, S.B.[Santosh B.], Roy, S.D.[Sumantra Dutta],
Automated Identification of Protein Structural Features,
PReMI09(171-176).
Springer DOI 0912
BibRef

Stamatopoulos, V.G., Karras, D.A., Moschopoulos, C., Kossida, S.,
Interpretation of Coherence Phase and Rhythmic Cumulant Results: A Simulation Study,
WSSIP09(1-6).
IEEE DOI 0906
BibRef

Moschopoulos, C., Likothanassis, S., Stamatopoulos, V.G., Kossida, S.,
Applying Graph Theory on Protein-Protein Interaction Data,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Cai, J.[Jinhai],
Enhanced HMM for the Recognition of Sigma70 Promoters in Escherichia coli,
DICTA08(46-51).
IEEE DOI 0812
BibRef

Cantoni, V.[Virginio], Gatti, R.[Riccardo], Lombardi, L.[Luca],
Towards Protein Interaction Analysis through Surface Labeling,
CIAP09(604-612).
Springer DOI 0909
BibRef

Kuksa, P.P.[Pavel P.], Pavlovic, V.[Vladimir],
Spatial Representation for Efficient Sequence Classification,
ICPR10(3320-3323).
IEEE DOI 1008
BibRef

Kuksa, P.P.[Pavel P.], Huang, P.H.[Pai-Hsi], Pavlovic, V.[Vladimir],
Fast protein homology and fold detection with sparse spatial sample kernels,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Jung, J.[Jaehee], Thon, M.R.[Michael R.],
Gene function prediction using protein domain probability and hierarchical Gene Ontology information,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Kim, D.[Donguk], Lee, C.H.[Chang-Hee], Cho, Y.S.[Young-Song], Kim, D.S.[Deok-Soo],
Manifoldization of beta-Shapes by Topology Operators,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Xiang, J.P.[Jun-Ping], Hu, M.L.[Mao-Lin],
Protein Surface Modeling Using Active Contour Model,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Xu, D.[Dong], Li, H.[Hua], Gu, T.J.[Tong-Jun],
Shape Representation and Invariant Description of Protein Tertiary Structure in Applications to Shape Retrieval and Classification,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Kumar, P.[Pankaj], Jayaraman, V.K., Kulkarni, B.D.,
Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli,
PReMI07(406-415).
Springer DOI 0712
BibRef

Tsatsaias, V., Daras, P., Strintzis, M.G.,
3D Protein Classification using Topological, Geometrical and Biological Information,
ICIP07(VI: 537-540).
IEEE DOI 0709
See also Ellipsoidal Harmonics for 3-D Shape Description and Retrieval. BibRef

Gedda, M.[Magnus], Svensson, S.[Stina],
Flexibility Description of the MET Protein Stalk Based on the Use of Non-uniform B-Splines,
CAIP07(173-180).
Springer DOI 0708
BibRef

Bonet, I.[Isis], Saeys, Y.[Yvan], Ábalo, R.G.[Ricardo Grau], García, M.M.[María M.], Sanchez, R.[Robersy], van de Peer, Y.[Yves],
Feature Extraction Using Clustering of Protein,
CIARP06(614-623).
Springer DOI 0611
BibRef

Yu, Z.Y.[Ze-Yun], Bajaj, C.,
A Structure Tensor Approach for 3D Image Skeletonization: Applications in Protein Secondary Structure Analysis,
ICIP06(2513-2516).
IEEE DOI 0610
BibRef

Mallick, S.P.[Satya P.], Agarwal, S.[Sameer], Kriegman, D.J.[David J.], Belongie, S.J.[Serge J.],
Vision in the Small: Reconstructing the Structure of Protein Macromolecules from Cryo-Electron Micrographs,
BMVC06(I:1).
PDF File. 0609
BibRef

Wen, Q.[Quan], Gao, J.[Jean], Luby-Phelps, K.[Kate],
Markov Chain Monte Carlo Data Association for Merge and Split Detection in Tracking Protein Clusters,
ICPR06(I: 1030-1033).
IEEE DOI 0609
BibRef

Sintorn, I.M.[Ida-Maria], Borgefors, G.[Gunilla],
Shape Based Identification of Proteins in Volume Images,
SCIA05(253-262).
Springer DOI 0506
BibRef

Bouchaffra, D., Tan, J.,
Protein Fold Recognition using a Structural Hidden Markov Model,
ICPR06(III: 186-189).
IEEE DOI 0609
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Blood Cells, Counting, Extraction, Analysis .


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