294 related articles for article (PubMed ID: 19091011)
1. Real value prediction of protein solvent accessibility using enhanced PSSM features.
Chang DT; Huang HY; Syu YT; Wu CP
BMC Bioinformatics; 2008 Dec; 9 Suppl 12(Suppl 12):S12. PubMed ID: 19091011
[TBL] [Abstract][Full Text] [Related]
2. SVM-Cabins: prediction of solvent accessibility using accumulation cutoff set and support vector machine.
Wang JY; Lee HM; Ahmad S
Proteins; 2007 Jul; 68(1):82-91. PubMed ID: 17436325
[TBL] [Abstract][Full Text] [Related]
3. RSARF: prediction of residue solvent accessibility from protein sequence using random forest method.
Pugalenthi G; Kandaswamy KK; Chou KC; Vivekanandan S; Kolatkar P
Protein Pept Lett; 2012 Jan; 19(1):50-6. PubMed ID: 21919860
[TBL] [Abstract][Full Text] [Related]
4. RVP-net: online prediction of real valued accessible surface area of proteins from single sequences.
Ahmad S; Gromiha MM; Sarai A
Bioinformatics; 2003 Sep; 19(14):1849-51. PubMed ID: 14512359
[TBL] [Abstract][Full Text] [Related]
5. Prediction of protein relative solvent accessibility with support vector machines and long-range interaction 3D local descriptor.
Kim H; Park H
Proteins; 2004 Feb; 54(3):557-62. PubMed ID: 14748002
[TBL] [Abstract][Full Text] [Related]
6. Predicting RNA-binding sites of proteins using support vector machines and evolutionary information.
Cheng CW; Su EC; Hwang JK; Sung TY; Hsu WL
BMC Bioinformatics; 2008 Dec; 9 Suppl 12(Suppl 12):S6. PubMed ID: 19091029
[TBL] [Abstract][Full Text] [Related]
7. Predicting and analyzing DNA-binding domains using a systematic approach to identifying a set of informative physicochemical and biochemical properties.
Huang HL; Lin IC; Liou YF; Tsai CT; Hsu KT; Huang WL; Ho SJ; Ho SY
BMC Bioinformatics; 2011 Feb; 12 Suppl 1(Suppl 1):S47. PubMed ID: 21342579
[TBL] [Abstract][Full Text] [Related]
8. Real value prediction of solvent accessibility from amino acid sequence.
Ahmad S; Gromiha MM; Sarai A
Proteins; 2003 Mar; 50(4):629-35. PubMed ID: 12577269
[TBL] [Abstract][Full Text] [Related]
9. PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility.
Fan C; Liu D; Huang R; Chen Z; Deng L
BMC Bioinformatics; 2016 Jan; 17 Suppl 1(Suppl 1):8. PubMed ID: 26818760
[TBL] [Abstract][Full Text] [Related]
10. Protein disorder prediction by condensed PSSM considering propensity for order or disorder.
Su CT; Chen CY; Ou YY
BMC Bioinformatics; 2006 Jun; 7():319. PubMed ID: 16796745
[TBL] [Abstract][Full Text] [Related]
11. A hydrophobic spine stabilizes a surface-exposed α-helix according to analysis of the solvent-accessible surface area.
Liou YF; Huang HL; Ho SY
BMC Bioinformatics; 2016 Dec; 17(Suppl 19):503. PubMed ID: 28155647
[TBL] [Abstract][Full Text] [Related]
12. A method for protein accessibility prediction based on residue types and conformational states.
Zarei R; Arab S; Sadeghi M
Comput Biol Chem; 2007 Oct; 31(5-6):384-8. PubMed ID: 17888743
[TBL] [Abstract][Full Text] [Related]
13. Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework.
Fan XQ; Hu J; Jia NX; Yu DJ; Zhang GJ
Anal Biochem; 2021 Oct; 631():114358. PubMed ID: 34478704
[TBL] [Abstract][Full Text] [Related]
14. RBSURFpred: Modeling protein accessible surface area in real and binary space using regularized and optimized regression.
Tarafder S; Toukir Ahmed M; Iqbal S; Tamjidul Hoque M; Sohel Rahman M
J Theor Biol; 2018 Mar; 441():44-57. PubMed ID: 29305182
[TBL] [Abstract][Full Text] [Related]
15. Prediction of protein accessible surface areas by support vector regression.
Yuan Z; Huang B
Proteins; 2004 Nov; 57(3):558-64. PubMed ID: 15382233
[TBL] [Abstract][Full Text] [Related]
16. Two-stage support vector regression approach for predicting accessible surface areas of amino acids.
Nguyen MN; Rajapakse JC
Proteins; 2006 May; 63(3):542-50. PubMed ID: 16456847
[TBL] [Abstract][Full Text] [Related]
17. Linear regression models for solvent accessibility prediction in proteins.
Wagner M; Adamczak R; Porollo A; Meller J
J Comput Biol; 2005 Apr; 12(3):355-69. PubMed ID: 15857247
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning.
Guo Y; Wu J; Ma H; Wang S; Huang J
J Comput Biol; 2021 Apr; 28(4):346-361. PubMed ID: 33617347
[No Abstract] [Full Text] [Related]
19. PSSM-based prediction of DNA binding sites in proteins.
Ahmad S; Sarai A
BMC Bioinformatics; 2005 Feb; 6():33. PubMed ID: 15720719
[TBL] [Abstract][Full Text] [Related]
20. APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.
Xia JF; Zhao XM; Song J; Huang DS
BMC Bioinformatics; 2010 Apr; 11():174. PubMed ID: 20377884
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]