Biomedical Engineering Reference
In-Depth Information
70. Saini L, Gupta SP, Kumar Satluri VS (2009) A QSAR study on some series of sodium and
potassium channel blockers. Med Chem 5:570-576
71. Mungalpara J, Pandey A, Jain V et al (2010) Molecular modeling and QSAR analysis on some
structurally diverse N-type calcium channel blockers. J Mol Model 16:629-644 (references
cited therein)
72. Rogers D, Hopfinger AJ (1994) Application of genetic function approximation to quantitative
structure-activity relationships and quantitative structure-property relationships. J Chem Inf
Comput Sci 34:854-866
73. Cerius2, Version 4.10 (2005) San Diego, CA
74. Zhihua L, Yuzhang W, Xuejun Q et al (2002) Use of a novel electrotopological descriptor for
the prediction of biological activity of peptide analogues. Int J Pept Res Ther 9:273-281
75. Hall LH, Kier LB (1995) Electrotopological state indices for atom types: a novel combination
of electronic,
topological, and valence state information. J Chem Inf Comput Sci
35:1039-1045
76. Rucker C, Rucker G, Meringer M (2007) y-Randomization and its variants in QSPR/QSAR.
J Chem Inf Model 47:2345-2357
77. Golbraikh A, Shen M, Xiao Z et al (2003) Rational selection of training and test sets for the
development of validated QSAR models. J Comput Aid Mol Des 17:241-253
78. Oprea TI, Allu TK, Fara DC (2007) Lead-like, drug-like or “Pub-like”: how different are they?
J Comput Aid Mol Des 21:113-119
79. Ghose AK, Crippen GM (1987) Atomic physicochemical parameters for three-dimensional-
structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and
hydrophobic interactions. J Chem Inf Comput Sci 27:21-35
80. Viswanadhan VN, Ghose AK, Reyankar GR et al (1989) Atomic physico-chemical parameters
for three-dimensional-structure directed quantitative structure-activity relationships. 2. Modeling
dispersive and hydrophobic interactions. J Chem Inf Comput Sci 29:163-172
81. Cheng A, Merz K Jr (2003) Prediction of aqueous solubility of a diverse set of compounds
using quantitative structure-property relationships. J Med Chem 46:3572-3580
82. Ryder RT, Hu LY, Rafferty MF et al (1999) Multiple parallel synthesis of N, N dialkyl
dipeptidylamines as N-type calcium channel blockers. Bioorg Med Chem Lett 9:1813-1818
83. Verma RP, Hansch C (2009) Camptothecins: a SAR/QSAR study. Chem Rev 109:213-235
84. Hajjo R, Grulke CM, Golbraikh A et al (2010) Development, validation, and use of quantita-
tive structure-activity relationship models of 5-hydroxytryptamine (2B) receptor ligands to
identify novel receptor binders and putative valvulopathic compounds among common drugs.
J Med Chem 53(21):7573-7586
85. Diana CC, Jean-Fran¸ois D (2010) Grand challenge for ion channels: an underexploited
resource for therapeutics. Front Pharmacol. doi:10.3389/fphar.2010.00113
86. Barrow JC, Duffy JL (2010) Voltage-gated calcium channel antagonists for the central
nervous system. Annu Rep Med Chem 45:2-18
87. Elena C, Simona F, Laura F et al (2010) Ion channel blockers for the treatment of neuropathic
pain. Future Med Chem 2:803-842
88. Adelina MV, Thomas GO, Paul TA (2010) Toward a comprehensive molecular design
framework for reduced hazard. Chem Rev 110:5845-5882
89. Mohan CG, Tamanna G, Divita G et al (2007) Computer assisted methods in chemical toxicity
prediction. Mini Rev Med Chem 7:499-507
Search WWH ::




Custom Search