These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
474 related articles for article (PubMed ID: 17013940)
1. MODEL-molecular descriptor lab: a web-based server for computing structural and physicochemical features of compounds. Li ZR; Han LY; Xue Y; Yap CW; Li H; Jiang L; Chen YZ Biotechnol Bioeng; 2007 Jun; 97(2):389-96. PubMed ID: 17013940 [TBL] [Abstract][Full Text] [Related]
2. PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. Li ZR; Lin HH; Han LY; Jiang L; Chen X; Chen YZ Nucleic Acids Res; 2006 Jul; 34(Web Server issue):W32-7. PubMed ID: 16845018 [TBL] [Abstract][Full Text] [Related]
3. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein. Raghava GP; Han JH BMC Bioinformatics; 2005 Mar; 6():59. PubMed ID: 15773999 [TBL] [Abstract][Full Text] [Related]
4. COPid: composition based protein identification. Kumar M; Thakur V; Raghava GP In Silico Biol; 2008; 8(2):121-8. PubMed ID: 18928200 [TBL] [Abstract][Full Text] [Related]
5. NL MIND-BEST: a web server for ligands and proteins discovery--theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum. González-Díaz H; Prado-Prado F; Sobarzo-Sánchez E; Haddad M; Maurel Chevalley S; Valentin A; Quetin-Leclercq J; Dea-Ayuela MA; Teresa Gomez-Muños M; Munteanu CR; José Torres-Labandeira J; García-Mera X; Tapia RA; Ubeira FM J Theor Biol; 2011 May; 276(1):229-49. PubMed ID: 21277861 [TBL] [Abstract][Full Text] [Related]
6. pKNOT: the protein KNOT web server. Lai YL; Yen SC; Yu SH; Hwang JK Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W420-4. PubMed ID: 17526524 [TBL] [Abstract][Full Text] [Related]
7. Predicting protein structural class based on multi-features fusion. Chen C; Chen LX; Zou XY; Cai PX J Theor Biol; 2008 Jul; 253(2):388-92. PubMed ID: 18423494 [TBL] [Abstract][Full Text] [Related]
8. Predicting functional sites with an automated algorithm suitable for heterogeneous datasets. La D; Livesay DR BMC Bioinformatics; 2005 May; 6():116. PubMed ID: 15890082 [TBL] [Abstract][Full Text] [Related]
9. Native and modeled disulfide bonds in proteins: knowledge-based approaches toward structure prediction of disulfide-rich polypeptides. Thangudu RR; Vinayagam A; Pugalenthi G; Manonmani A; Offmann B; Sowdhamini R Proteins; 2005 Mar; 58(4):866-79. PubMed ID: 15645448 [TBL] [Abstract][Full Text] [Related]
10. QSCOP-BLAST--fast retrieval of quantified structural information for protein sequences of unknown structure. Suhrer SJ; Gruber M; Sippl MJ Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W411-5. PubMed ID: 17478501 [TBL] [Abstract][Full Text] [Related]
11. Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach. Lin HH; Han LY; Zhang HL; Zheng CJ; Xie B; Cao ZW; Chen YZ BMC Bioinformatics; 2006 Dec; 7 Suppl 5(Suppl 5):S13. PubMed ID: 17254297 [TBL] [Abstract][Full Text] [Related]
12. Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. Rao HB; Zhu F; Yang GB; Li ZR; Chen YZ Nucleic Acids Res; 2011 Jul; 39(Web Server issue):W385-90. PubMed ID: 21609959 [TBL] [Abstract][Full Text] [Related]
13. KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns. Wong YH; Lee TY; Liang HK; Huang CM; Wang TY; Yang YH; Chu CH; Huang HD; Ko MT; Hwang JK Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W588-94. PubMed ID: 17517770 [TBL] [Abstract][Full Text] [Related]
15. MeDor: a metaserver for predicting protein disorder. Lieutaud P; Canard B; Longhi S BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S25. PubMed ID: 18831791 [TBL] [Abstract][Full Text] [Related]
16. FoldIndex: a simple tool to predict whether a given protein sequence is intrinsically unfolded. Prilusky J; Felder CE; Zeev-Ben-Mordehai T; Rydberg EH; Man O; Beckmann JS; Silman I; Sussman JL Bioinformatics; 2005 Aug; 21(16):3435-8. PubMed ID: 15955783 [TBL] [Abstract][Full Text] [Related]
17. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search. Garg A; Raghava GP In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201 [TBL] [Abstract][Full Text] [Related]
18. Anisotropic network model: systematic evaluation and a new web interface. Eyal E; Yang LW; Bahar I Bioinformatics; 2006 Nov; 22(21):2619-27. PubMed ID: 16928735 [TBL] [Abstract][Full Text] [Related]
19. Quantitative structure-activity relationship modeling of juvenile hormone mimetic compounds for Culex pipiens larvae, with a discussion of descriptor-thinning methods. Basak SC; Natarajan R; Mills D; Hawkins DM; Kraker JJ J Chem Inf Model; 2006; 46(1):65-77. PubMed ID: 16426041 [TBL] [Abstract][Full Text] [Related]
20. PROSPECT-PSPP: an automatic computational pipeline for protein structure prediction. Guo JT; Ellrott K; Chung WJ; Xu D; Passovets S; Xu Y Nucleic Acids Res; 2004 Jul; 32(Web Server issue):W522-5. PubMed ID: 15215441 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]