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Results: 1-25 | 26-27

Table of contents of journal:

Results: 1-25/27
Evolution of the pharmacophore concept in pharmaceutical research
Authors: Gund, P
Citation: P. Gund, Evolution of the pharmacophore concept in pharmaceutical research, IUL BIOTECH, 2, 2000, pp. 3-13
Manual pharmacophore generation: Visual pattern recognition
Authors: Guner, OF
Citation: Of. Guner, Manual pharmacophore generation: Visual pattern recognition, IUL BIOTECH, 2, 2000, pp. 17-20
Pharmacophore definition using the active analog approach
Authors: Beusen, DD Marshall, GR
Citation: Dd. Beusen et Gr. Marshall, Pharmacophore definition using the active analog approach, IUL BIOTECH, 2, 2000, pp. 21-45
DISCO: What we did right and what we missed
Authors: Martin, YC
Citation: Yc. Martin, DISCO: What we did right and what we missed, IUL BIOTECH, 2, 2000, pp. 49-68
HipHop: Pharmacophores based on multiple common-feature alignments
Authors: Clement, OO Mehl, AT
Citation: Oo. Clement et At. Mehl, HipHop: Pharmacophores based on multiple common-feature alignments, IUL BIOTECH, 2, 2000, pp. 69-84
GASP: Genetic Algorithm Superimposition Program
Authors: Jones, G Willett, P Glen, RC
Citation: G. Jones et al., GASP: Genetic Algorithm Superimposition Program, IUL BIOTECH, 2, 2000, pp. 85-107
Exploring pharmacophores with Chem-X
Authors: Cato, SJ
Citation: Sj. Cato, Exploring pharmacophores with Chem-X, IUL BIOTECH, 2, 2000, pp. 108-125
Apex-3D: Activity prediction expert system with 3D QSAR
Authors: Vorpagel, ER Golender, VE
Citation: Er. Vorpagel et Ve. Golender, Apex-3D: Activity prediction expert system with 3D QSAR, IUL BIOTECH, 2, 2000, pp. 129-149
Pharmacophore models and Comparative Molecular Field Analysis (CoMFA)
Authors: Clark, RD Leonard, JM Strizhev, A
Citation: Rd. Clark et al., Pharmacophore models and Comparative Molecular Field Analysis (CoMFA), IUL BIOTECH, 2, 2000, pp. 151-169
HypoGen: An automated system for generating 3D predictive pharmacophore models
Authors: Li, H Sutter, J Hoffmann, R
Citation: H. Li et al., HypoGen: An automated system for generating 3D predictive pharmacophore models, IUL BIOTECH, 2, 2000, pp. 171-189
Metric for analyzing hit lists and pharmacophores
Authors: Guner, OF Henry, DR
Citation: Of. Guner et Dr. Henry, Metric for analyzing hit lists and pharmacophores, IUL BIOTECH, 2, 2000, pp. 193-212
Strategies for database mining and pharmacophore development
Authors: Guner, OF Waldman, M Hoffmann, R Kim, JH
Citation: Of. Guner et al., Strategies for database mining and pharmacophore development, IUL BIOTECH, 2, 2000, pp. 213-236
Pharmacophore modeling by automated methods: Possibilities and limitations
Authors: Langgard, M Bjornholm, B Gundertofte, K
Citation: M. Langgard et al., Pharmacophore modeling by automated methods: Possibilities and limitations, IUL BIOTECH, 2, 2000, pp. 237-250
Database mining using pharmacophore models to discover novel structural prototypes
Authors: Kaminski, JJ Rane, DF Rothofsky, ML
Citation: Jj. Kaminski et al., Database mining using pharmacophore models to discover novel structural prototypes, IUL BIOTECH, 2, 2000, pp. 251-268
Predicting drug-drug interactions in silico using pharmacophores: A paradigm for the next millennium
Authors: Ekins, S Ring, BJ Bravi, G Wikel, JH Wrighton, SA
Citation: S. Ekins et al., Predicting drug-drug interactions in silico using pharmacophores: A paradigm for the next millennium, IUL BIOTECH, 2, 2000, pp. 269-299
Feature-based pharmacophores: Application to some biological systems
Authors: Hoffmann, R Li, H Langer, T
Citation: R. Hoffmann et al., Feature-based pharmacophores: Application to some biological systems, IUL BIOTECH, 2, 2000, pp. 301-318
The design and pharmacophore definition of retinoid X receptor specific ligands
Authors: White, SK
Citation: Sk. White, The design and pharmacophore definition of retinoid X receptor specific ligands, IUL BIOTECH, 2, 2000, pp. 319-336
Receptor-based pharmacophore perception and modeling
Authors: Venkatachalam, CM Kirchhoff, P Waldman, M
Citation: Cm. Venkatachalam et al., Receptor-based pharmacophore perception and modeling, IUL BIOTECH, 2, 2000, pp. 339-350
Pharmacophore-based molecular docking
Authors: Thomas, BE Joseph-McCarthy, D Alvarez, JC
Citation: Be. Thomas et al., Pharmacophore-based molecular docking, IUL BIOTECH, 2, 2000, pp. 351-367
The use of multiple excluded volumes derived from X-ray crystallographic structures in 3D database searching and 3D QSAR
Authors: Gillner, M Greenidge, P
Citation: M. Gillner et P. Greenidge, The use of multiple excluded volumes derived from X-ray crystallographic structures in 3D database searching and 3D QSAR, IUL BIOTECH, 2, 2000, pp. 371-384
Docking-derived pharmacophores from models of receptor-ligand complexes
Authors: Griffith, R Bremner, JB Coban, B
Citation: R. Griffith et al., Docking-derived pharmacophores from models of receptor-ligand complexes, IUL BIOTECH, 2, 2000, pp. 385-408
Technique for developing a pharmacophore model that accommodates inherent protein flexibility: An application to HIV-1 integrase
Authors: Masukawa, KM Carlson, HA McCammon, JA
Citation: Km. Masukawa et al., Technique for developing a pharmacophore model that accommodates inherent protein flexibility: An application to HIV-1 integrase, IUL BIOTECH, 2, 2000, pp. 409-427
Pharmacophores derived from the 3D substructure perception
Authors: Handschuh, S Gasteiger, J
Citation: S. Handschuh et J. Gasteiger, Pharmacophores derived from the 3D substructure perception, IUL BIOTECH, 2, 2000, pp. 431-453
The electron-conformational method of identification of pharmacophore and anti-pharmacophore shielding
Authors: Bersuker, IB Bahceci, S Boggs, JE
Citation: Ib. Bersuker et al., The electron-conformational method of identification of pharmacophore and anti-pharmacophore shielding, IUL BIOTECH, 2, 2000, pp. 455-476
Development and optimization of property-based pharmacophores
Authors: Ozkabak, AG Miller, MA Henry, DR Guner, OF
Citation: Ag. Ozkabak et al., Development and optimization of property-based pharmacophores, IUL BIOTECH, 2, 2000, pp. 477-497
Risultati: 1-25 | 26-27