-
1
-
-
0015859467
-
Principles that govern the folding of protein chains
-
Anfinsen C. Principles that govern the folding of protein chains. Science 1973, 181:223-230.
-
(1973)
Science
, vol.181
, pp. 223-230
-
-
Anfinsen, C.1
-
2
-
-
33750402176
-
A new representation for protein secondary structure prediction based on frequent patterns
-
Birzele F., Kramer S. A new representation for protein secondary structure prediction based on frequent patterns. Bioinformatics 2006, 22:2628-2634.
-
(2006)
Bioinformatics
, vol.22
, pp. 2628-2634
-
-
Birzele, F.1
Kramer, S.2
-
3
-
-
0000520412
-
Prediction of protein (domain) structural classes based on amino-acid index
-
Bu W.S., et al. Prediction of protein (domain) structural classes based on amino-acid index. Eur. J. Biochem. 1999, 266:1043-1049.
-
(1999)
Eur. J. Biochem.
, vol.266
, pp. 1043-1049
-
-
Bu, W.S.1
-
4
-
-
84875576158
-
Propy: a tool to generate various modes of Chou's PseAAC
-
Cao D.S., Xu Q.S, et al. Propy: a tool to generate various modes of Chou's PseAAC. Bioinformatics 2013, 29:960-962.
-
(2013)
Bioinformatics
, vol.29
, pp. 960-962
-
-
Cao, D.S.1
Xu, Q.S.2
-
5
-
-
84859732713
-
Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities
-
Chen L, Zeng W.M., et al. Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities. PLoS One 2012, 7:e35254.
-
(2012)
PLoS One
, vol.7
-
-
Chen, L.1
Zeng, W.M.2
-
6
-
-
84876053736
-
-
iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition, Nucleic Acids Res. 41: e69: open access at
-
Chen W, Feng PM, et al. (2013) iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition, Nucleic Acids Res. 41: e69: open access at. http://dx.doi.org/doi:10.1093/nar/gks1450.
-
(2013)
-
-
Chen, W.1
Feng, P.M.2
-
7
-
-
0029051959
-
A novel approach to predicting protein structural classes in a (20-1)-d amino acid composition space
-
Chou K.-C. A novel approach to predicting protein structural classes in a (20-1)-d amino acid composition space. Proteins 1995, 21:319-344.
-
(1995)
Proteins
, vol.21
, pp. 319-344
-
-
Chou, K.-C.1
-
8
-
-
0035874091
-
Prediction of protein cellular attributes using pseudo-amino acid composition
-
Chou K.-C. Prediction of protein cellular attributes using pseudo-amino acid composition. Proteins: Struct., Fucnt. Genet. 2001, 43:246-255.
-
(2001)
Proteins: Struct., Fucnt. Genet.
, vol.43
, pp. 246-255
-
-
Chou, K.-C.1
-
9
-
-
12744279642
-
Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
-
Chou KC Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes. Bioinformatics 2005, 21:10-19.
-
(2005)
Bioinformatics
, vol.21
, pp. 10-19
-
-
Chou, K.C.1
-
10
-
-
72449203319
-
Pseudo amino acid composition and its applications in bioinformatics, proteomics and system biology
-
Chou K.-C. Pseudo amino acid composition and its applications in bioinformatics, proteomics and system biology. Curr. Proteom. 2009, 6:262-274.
-
(2009)
Curr. Proteom.
, vol.6
, pp. 262-274
-
-
Chou, K.-C.1
-
11
-
-
79951518208
-
Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review)
-
Chou K.-C. Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review). J. Theor. Biol. 2011, 273:236-247.
-
(2011)
J. Theor. Biol.
, vol.273
, pp. 236-247
-
-
Chou, K.-C.1
-
12
-
-
84877758233
-
Some remarks on predicting multi-label attributes in molecular biosystems
-
Chou KC Some remarks on predicting multi-label attributes in molecular biosystems. Mol. Biosyst. 2013, 9:1092-1100.
-
(2013)
Mol. Biosyst.
, vol.9
, pp. 1092-1100
-
-
Chou, K.C.1
-
13
-
-
3843117638
-
Predicting protein structural class by functional domain composition
-
Chou K.-C., Cai Y.D. Predicting protein structural class by functional domain composition. Biochem. Biophys. Res. Commun. 2004, 321:1007-1009.
-
(2004)
Biochem. Biophys. Res. Commun.
, vol.321
, pp. 1007-1009
-
-
Chou, K.-C.1
Cai, Y.D.2
-
14
-
-
80054859130
-
Review: recent progresses in protein subcellular location prediction
-
Chou K.-C., Shen H.B. Review: recent progresses in protein subcellular location prediction. Anal. Biochem. 2007, 370.
-
(2007)
Anal. Biochem.
, pp. 370
-
-
Chou, K.-C.1
Shen, H.B.2
-
15
-
-
84904759951
-
-
Review: recent advances in developing web-servers for predicting protein attributes, Nat. Sci., 2, 63-92 (openly accessible at ).
-
Chou, K.-C. Shen, H.B. (2009) Review: recent advances in developing web-servers for predicting protein attributes, Nat. Sci., 2, 63-92 (openly accessible at ). http://www.scirp.org/journal/NS/.
-
(2009)
-
-
Chou, K.-C.1
Shen, H.B.2
-
17
-
-
84876972087
-
Comparison study on statistical features of predicted secondary structures for protein structural class prediction: from content to position
-
Dai Q., et al. Comparison study on statistical features of predicted secondary structures for protein structural class prediction: from content to position. BMC Bioinf. 2013, 14:152.
-
(2013)
BMC Bioinf.
, vol.14
, pp. 152
-
-
Dai, Q.1
-
18
-
-
84862812419
-
A novel protein structural classes prediction method based on predicted secondary structure
-
Ding S., et al. A novel protein structural classes prediction method based on predicted secondary structure. Biochimie 2012, 94:1166-1171.
-
(2012)
Biochimie
, vol.94
, pp. 1166-1171
-
-
Ding, S.1
-
19
-
-
84859932176
-
PseAAC-builder: a cross-platform stand-alone program for generating various special Chou's pseudo9amino acid compositions
-
Du P, Wang X, et al. PseAAC-builder: a cross-platform stand-alone program for generating various special Chou's pseudo9amino acid compositions. Anal. Biochem. 2012, 425:117-119.
-
(2012)
Anal. Biochem.
, vol.425
, pp. 117-119
-
-
Du, P.1
Wang, X.2
-
20
-
-
84895429516
-
PseAAC-general: fast building various modes of general form of Chou's pseudo9amino acid composition for large9scale protein datasets
-
Du P, Gu S, et al. PseAAC-general: fast building various modes of general form of Chou's pseudo9amino acid composition for large9scale protein datasets. Int. J. Mol. Sci. 2014, 15:3495-3506.
-
(2014)
Int. J. Mol. Sci.
, vol.15
, pp. 3495-3506
-
-
Du, P.1
Gu, S.2
-
21
-
-
84904100292
-
Predicting protein submitochondrion locations by combining different descriptors into the general form of Chou's pseudo amino acid composition
-
Fan G.-L., Li Q.-Z. Predicting protein submitochondrion locations by combining different descriptors into the general form of Chou's pseudo amino acid composition. Amino Acids 2011, 20:1-11.
-
(2011)
Amino Acids
, vol.20
, pp. 1-11
-
-
Fan, G.-L.1
Li, Q.-Z.2
-
22
-
-
68149176631
-
Prediction of protein folds: extraction of new features, dimensionality reduction, and fusion of heterogeneous classifiers
-
Ghanty P., Pal N.R. Prediction of protein folds: extraction of new features, dimensionality reduction, and fusion of heterogeneous classifiers. IEEE Trans. Nanobiosci. 2009, 8:100-110.
-
(2009)
IEEE Trans. Nanobiosci.
, vol.8
, pp. 100-110
-
-
Ghanty, P.1
Pal, N.R.2
-
25
-
-
0033578684
-
Protein secondary structure prediction based on position specific scoring matrices
-
Jones D.T. Protein secondary structure prediction based on position specific scoring matrices. J. Mol. Biol. 1999, 292:195-202.
-
(1999)
J. Mol. Biol.
, vol.292
, pp. 195-202
-
-
Jones, D.T.1
-
27
-
-
84890593591
-
Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition
-
Kong L., Zhang L., Lv J. Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition. J. Theor. Biol. 2014, 344:12-18.
-
(2014)
J. Theor. Biol.
, vol.344
, pp. 12-18
-
-
Kong, L.1
Zhang, L.2
Lv, J.3
-
28
-
-
33748415440
-
Prediction of structural classes for protein sequences and domains-impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy
-
Kurgan L.A., Homaeian L. Prediction of structural classes for protein sequences and domains-impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy. Pattern Recognit 2006, 39:2323-2343.
-
(2006)
Pattern Recognit
, vol.39
, pp. 2323-2343
-
-
Kurgan, L.A.1
Homaeian, L.2
-
29
-
-
44349134514
-
SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences
-
Kurgan L.A., Cios K., Chen K. SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences. BMC Bioinf. 2008, 9:226.
-
(2008)
BMC Bioinf.
, vol.9
, pp. 226
-
-
Kurgan, L.A.1
Cios, K.2
Chen, K.3
-
30
-
-
0017309766
-
Structural patterns in globular proteins
-
Levitt M., Chothia C. Structural patterns in globular proteins. Nature 1976, 261:552-558.
-
(1976)
Nature
, vol.261
, pp. 552-558
-
-
Levitt, M.1
Chothia, C.2
-
32
-
-
77956623830
-
A high-accuracy protein structural class prediction algorithm using predicted secondary structural information
-
Liu T., Jia C. A high-accuracy protein structural class prediction algorithm using predicted secondary structural information. J. Theor. Biol. 2010, 267:272-275.
-
(2010)
J. Theor. Biol.
, vol.267
, pp. 272-275
-
-
Liu, T.1
Jia, C.2
-
33
-
-
75149123557
-
Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences
-
Mizianty M.J., Kurgan L.A. Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences. Bioinforma 2009, 10:414.
-
(2009)
Bioinforma
, vol.10
, pp. 414
-
-
Mizianty, M.J.1
Kurgan, L.A.2
-
34
-
-
75149123557
-
Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences
-
Mizianty MJ, Kurgan L Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences. BMC Bioinf. 2009, 10:414.
-
(2009)
BMC Bioinf.
, vol.10
, pp. 414
-
-
Mizianty, M.J.1
Kurgan, L.2
-
35
-
-
0022631926
-
The folding type of a protein is relevant to the amino acid composition
-
Nakashima H., Nishikawa K., Ooi T. The folding type of a protein is relevant to the amino acid composition. J. Biochem. 1986, 99:153-162.
-
(1986)
J. Biochem.
, vol.99
, pp. 153-162
-
-
Nakashima, H.1
Nishikawa, K.2
Ooi, T.3
-
36
-
-
77953934865
-
A high performance set of PseAAC descriptors extracted from the amino acid sequence for protein classification
-
Nanni L., Brahnam S., Lumini A. A high performance set of PseAAC descriptors extracted from the amino acid sequence for protein classification. J. Theor. Biol. 2010, 266:1-10.
-
(2010)
J. Theor. Biol.
, vol.266
, pp. 1-10
-
-
Nanni, L.1
Brahnam, S.2
Lumini, A.3
-
37
-
-
84896293227
-
A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition
-
50
-
Paliwal K.K., Sharma A., Lyons J., Dehzangi A. A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition. IEEE Trans. Nanobiosci. 2014, 44-50(March).
-
(2014)
IEEE Trans. Nanobiosci.
, vol.44
, Issue.March
-
-
Paliwal, K.K.1
Sharma, A.2
Lyons, J.3
Dehzangi, A.4
-
39
-
-
0029902780
-
Bridging the protein by structure predictions sequence-structure gap
-
Rost B., Sander C. Bridging the protein by structure predictions sequence-structure gap. Annu. Rev. Biophys. Biomol. Struct. 1996, 25:113-136.
-
(1996)
Annu. Rev. Biophys. Biomol. Struct.
, vol.25
, pp. 113-136
-
-
Rost, B.1
Sander, C.2
-
40
-
-
37549004451
-
PseAAC: a flexible web-server for generating various kinds of protein pseudo amino acid composition
-
Shen HB, Chou KC PseAAC: a flexible web-server for generating various kinds of protein pseudo amino acid composition. Anal. Biochem. 2008, 373:386-388.
-
(2008)
Anal. Biochem.
, vol.373
, pp. 386-388
-
-
Shen, H.B.1
Chou, K.C.2
-
41
-
-
84871963701
-
A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
-
Sharma A., et al. A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition. J. Theor. Biol. 2013, 320:41-46.
-
(2013)
J. Theor. Biol.
, vol.320
, pp. 41-46
-
-
Sharma, A.1
-
42
-
-
0034141493
-
How good is prediction of protein structural class by the component-coupled method?
-
Wang Z.X., Yuan Z. How good is prediction of protein structural class by the component-coupled method?. Proteins 2000, 38:165-175.
-
(2000)
Proteins
, vol.38
, pp. 165-175
-
-
Wang, Z.X.1
Yuan, Z.2
-
43
-
-
84875074764
-
IAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types
-
Xiao X, Wang P, et al. iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types. Anal. Biochem. 2013, 436:168-177.
-
(2013)
Anal. Biochem.
, vol.436
, pp. 168-177
-
-
Xiao, X.1
Wang, P.2
-
44
-
-
84873575437
-
ISNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition
-
Xu Y, Ding J, et al. iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition. PLoS One 2013, 8:e55844.
-
(2013)
PLoS One
, vol.8
-
-
Xu, Y.1
Ding, J.2
-
45
-
-
84885156363
-
-
a iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. PeerJ 1: e171: open access at
-
Xu Y, Shao XJ, et al. (2013a) iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. PeerJ 1: e171: open access at. https://peerj.com/articles/171.pdf.
-
(2013)
-
-
Xu, Y.1
Shao, X.J.2
-
46
-
-
76649141763
-
Prediction of protein structural classes for low homology sequences based on predicted secondary structure
-
Yang J., Peng Z., Chen X. Prediction of protein structural classes for low homology sequences based on predicted secondary structure. BMC Bioinf. 2010, 11:S9.
-
(2010)
BMC Bioinf.
, vol.11
-
-
Yang, J.1
Peng, Z.2
Chen, X.3
-
47
-
-
77955877726
-
Using auto covariance method for functional discrimination of membrane proteins based on evolution information
-
Yang L., et al. Using auto covariance method for functional discrimination of membrane proteins based on evolution information. Amino Acids 2010, 38:1497-1503.
-
(2010)
Amino Acids
, vol.38
, pp. 1497-1503
-
-
Yang, L.1
-
48
-
-
84862760495
-
Predicting subcellular location of apoptosis proteins with pseudo amino acid composition: approach from amino acid substitution matrix and auto covariance transformation
-
Yu X., et al. Predicting subcellular location of apoptosis proteins with pseudo amino acid composition: approach from amino acid substitution matrix and auto covariance transformation. Amino Acids 2011, 10.1007/s00726-00011-00848-00728.
-
(2011)
Amino Acids
-
-
Yu, X.1
-
49
-
-
6344258643
-
Prediction of protein accessible surface areas by support vector regression
-
Yuan Z, Huang B Prediction of protein accessible surface areas by support vector regression. Proteins 2004, 57:558-564.
-
(2004)
Proteins
, vol.57
, pp. 558-564
-
-
Yuan, Z.1
Huang, B.2
-
50
-
-
79952451732
-
High-accuracy prediction of protein structural class for low-similarity sequences based on predicted secondary structure
-
Zhang S., Ding S., Wang T. High-accuracy prediction of protein structural class for low-similarity sequences based on predicted secondary structure. Biochimie 2011, 93:710-714.
-
(2011)
Biochimie
, vol.93
, pp. 710-714
-
-
Zhang, S.1
Ding, S.2
Wang, T.3
-
51
-
-
84906959961
-
Stringent DDI-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions
-
(2013)
-
Zhou HF, Javad R, Willy H, Gao S., Jin J., Fan M., Yong CH, Wozniak M, Wong.L Stringent DDI-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions. BMC Syst. Biol. 2013, 7(no. 6):1-15. (2013).
-
(2013)
BMC Syst. Biol.
, vol.7
, Issue.no. 6
, pp. 1-15
-
-
Zhou, H.F.1
Javad, R.2
Willy, H.3
Gao, S.4
Jin, J.5
Fan, M.6
Yong, C.H.7
Wozniak, M.8
Wong, L.9
|