77 related articles for article (PubMed ID: 20853307)
41. Application of 'HESH' descriptors for the structure-activity relationships of antimicrobial peptides.
Shu M; Jiang Y; Yang L; Wu Y; Mei H; Li Z
Protein Pept Lett; 2009; 16(2):143-9. PubMed ID: 19200037
[TBL] [Abstract][Full Text] [Related]
42. Structure-based prediction of protein-protein binding affinity with consideration of allosteric effect.
Tian F; Lv Y; Yang L
Amino Acids; 2012 Aug; 43(2):531-43. PubMed ID: 22089882
[TBL] [Abstract][Full Text] [Related]
43. Quantitative sequence-kinetics relationship in antigen-antibody interaction kinetics based on a set of descriptors [corrected].
Rong-Kai X; Hai-Xia L; Xiao-Ming C; Yuan-Qiang W; Yong L; Ying Y; Bo Z; Zhi-Hua L
Chem Biol Drug Des; 2010 Oct; 76(4):345-9. PubMed ID: 20807221
[TBL] [Abstract][Full Text] [Related]
44. Toward prediction of binding affinities between the MHC protein and its peptide ligands using quantitative structure-affinity relationship approach.
Tian F; Lv F; Zhou P; Yang Q; Jalbout AF
Protein Pept Lett; 2008; 15(10):1033-43. PubMed ID: 19075812
[TBL] [Abstract][Full Text] [Related]
45. Modeling protein-peptide recognition based on classical quantitative structure-affinity relationship approach: implication for proteome-wide inference of peptide-mediated interactions.
Zhou Y; Ni Z; Chen K; Liu H; Chen L; Lian C; Yan L
Protein J; 2013 Oct; 32(7):568-78. PubMed ID: 24150505
[TBL] [Abstract][Full Text] [Related]
46. QSAR study on angiotensin-converting enzyme inhibitor oligopeptides based on a novel set of sequence information descriptors.
Wang X; Wang J; Lin Y; Ding Y; Wang Y; Cheng X; Lin Z
J Mol Model; 2011 Jul; 17(7):1599-606. PubMed ID: 20941517
[TBL] [Abstract][Full Text] [Related]
47. Predicting the activity of ACE inhibitory peptides with a novel mode of pseudo amino acid composition.
Shu M; Cheng X; Zhang Y; Wang Y; Lin Y; Wang L; Lin Z
Protein Pept Lett; 2011 Dec; 18(12):1233-43. PubMed ID: 21728992
[TBL] [Abstract][Full Text] [Related]
48. HomoSAR: bridging comparative protein modeling with quantitative structural activity relationship to design new peptides.
Borkar MR; Pissurlenkar RR; Coutinho EC
J Comput Chem; 2013 Nov; 34(30):2635-46. PubMed ID: 24105965
[TBL] [Abstract][Full Text] [Related]
49. A new set of amino acid descriptors and its application in peptide QSARs.
Mei H; Liao ZH; Zhou Y; Li SZ
Biopolymers; 2005; 80(6):775-86. PubMed ID: 15895431
[TBL] [Abstract][Full Text] [Related]
50. Two-level QSAR network (2L-QSAR) for peptide inhibitor design based on amino acid properties and sequence positions.
Du QS; Ma Y; Xie NZ; Huang RB
SAR QSAR Environ Res; 2014; 25(10):837-51. PubMed ID: 25275828
[TBL] [Abstract][Full Text] [Related]
51. Towards the chemometric dissection of peptide--HLA-A*0201 binding affinity: comparison of local and global QSAR models.
Doytchinova IA; Walshe V; Borrow P; Flower DR
J Comput Aided Mol Des; 2005 Mar; 19(3):203-12. PubMed ID: 16059672
[TBL] [Abstract][Full Text] [Related]
52. Quantitative Structure-Activity Relationship Study of Bitter Di-, Tri- and Tetrapeptides Using Integrated Descriptors.
Xu B; Chung HY
Molecules; 2019 Aug; 24(15):. PubMed ID: 31387305
[TBL] [Abstract][Full Text] [Related]
53. Systematic Modeling, Prediction, and Comparison of Domain-Peptide Affinities: Does it Work Effectively With the Peptide QSAR Methodology?
Liu Q; Lin J; Wen L; Wang S; Zhou P; Mei L; Shang S
Front Genet; 2021; 12():800857. PubMed ID: 35096016
[TBL] [Abstract][Full Text] [Related]
54. Amino acid side chain descriptors for quantitative structure-activity relationship studies of peptide analogues.
Collantes ER; Dunn WJ
J Med Chem; 1995 Jul; 38(14):2705-13. PubMed ID: 7629809
[TBL] [Abstract][Full Text] [Related]
55. Comparison of the frequency of functional SH3 domains with different limited sets of amino acids using mRNA display.
Tanaka J; Yanagawa H; Doi N
PLoS One; 2011 Mar; 6(3):e18034. PubMed ID: 21445307
[TBL] [Abstract][Full Text] [Related]
56. Chirality measures of α-amino acids.
Jamróz MH; Rode JE; Ostrowski S; Lipiński PF; Dobrowolski JC
J Chem Inf Model; 2012 Jun; 52(6):1462-79. PubMed ID: 22587304
[TBL] [Abstract][Full Text] [Related]
57. Correlation of physiochemical parameters to the hydrophobic contribution constants of amino acid residues in small peptides.
Palekar D; Shiue M; Lien EJ
Pharm Res; 1996 Aug; 13(8):1191-5. PubMed ID: 8865310
[TBL] [Abstract][Full Text] [Related]
58. A multi-scale parameterization approach of peptides for quantitative sequence-activity models.
Niu W; Xia Q; Liang G
Protein Pept Lett; 2010 May; 17(5):591-8. PubMed ID: 20443765
[TBL] [Abstract][Full Text] [Related]
59. The use of a steric parameter (Y gamma) in QSAR calculations for peptide hormones.
Nádasdi L; Medzihradszky K
Peptides; 1983; 4(2):137-44. PubMed ID: 6622282
[TBL] [Abstract][Full Text] [Related]
60. Quantitative Structure-Activity Relationship Study of Antioxidant Tripeptides Based on Model Population Analysis.
Deng B; Long H; Tang T; Ni X; Chen J; Yang G; Zhang F; Cao R; Cao D; Zeng M; Yi L
Int J Mol Sci; 2019 Feb; 20(4):. PubMed ID: 30823542
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]