Literature DB >> 2573695

ALADDIN: an integrated tool for computer-assisted molecular design and pharmacophore recognition from geometric, steric, and substructure searching of three-dimensional molecular structures.

J H Van Drie1, D Weininger, Y C Martin.   

Abstract

ALADDIN is a computer program for the design or recognition of compounds that meet geometric, steric, and substructural criteria. ALADDIN searches a database of three-dimensional structures, marks atoms that meet substructural criteria, evaluates geometric criteria, and prepares a number of files that are input for molecular modification and coordinate generation as well as for molecular graphics. Properties calculated from the three-dimensional structure are described by either properties calculated from the molecule itself or from the molecule as compared to a reference molecule and associated surfaces. ALADDIN was used to design analogues to probe a bioactive conformation of a small molecule and a peptide, to test alternative superposition rules for receptor mapping of the D2 dopamine receptor, to recognize unexpected D2 dopamine agonist activity of existing compounds, and to design compounds to fit a binding site on a protein of known structure. We have found that series designed by ALADDIN show much more subtle variation in shape than do those designed by traditional methods and that compounds can be designed to be very close matches to the objective.

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Year:  1989        PMID: 2573695     DOI: 10.1007/BF01533070

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  14 in total

1.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

Authors:  R D Cramer; D E Patterson; J D Bunce
Journal:  J Am Chem Soc       Date:  1988-08-01       Impact factor: 15.419

2.  Conformational energy analysis of the molecule, luteinizing hormone-releasing hormone. I. Native decapeptide.

Authors:  F A Momany
Journal:  J Am Chem Soc       Date:  1976-05-12       Impact factor: 15.419

3.  Docking flexible ligands to macromolecular receptors by molecular shape.

Authors:  R L DesJarlais; R P Sheridan; J S Dixon; I D Kuntz; R Venkataraghavan
Journal:  J Med Chem       Date:  1986-11       Impact factor: 7.446

4.  Three-dimensional molecular modeling and drug design.

Authors:  P Gund; J D Andose; J B Rhodes; G M Smith
Journal:  Science       Date:  1980-06-27       Impact factor: 47.728

5.  MENTHOR, a database system for the storage and retrieval of three-dimensional molecular structures and associated data searchable by substructural, biologic, physical, or geometric properties.

Authors:  Y C Martin; E B Danaher; C S May; D Weininger
Journal:  J Comput Aided Mol Des       Date:  1988-04       Impact factor: 3.686

6.  Using shape complementarity as an initial screen in designing ligands for a receptor binding site of known three-dimensional structure.

Authors:  R L DesJarlais; R P Sheridan; G L Seibel; J S Dixon; I D Kuntz; R Venkataraghavan
Journal:  J Med Chem       Date:  1988-04       Impact factor: 7.446

7.  Real-time color graphics in studies of molecular interactions.

Authors:  R Langridge; T E Ferrin; I D Kuntz; M L Connolly
Journal:  Science       Date:  1981-02-13       Impact factor: 47.728

8.  A geometric approach to macromolecule-ligand interactions.

Authors:  I D Kuntz; J M Blaney; S J Oatley; R Langridge; T E Ferrin
Journal:  J Mol Biol       Date:  1982-10-25       Impact factor: 5.469

9.  A new approach to conformationally restricted peptide analogs: rigid beta-bends. 1. Enkephalin as an example.

Authors:  J L Krstenansky; R L Baranowski; B L Currie
Journal:  Biochem Biophys Res Commun       Date:  1982-12-31       Impact factor: 3.575

10.  Dopamine D2 receptor binding sites for agonists. A tetrahedral model.

Authors:  P Seeman; M Watanabe; D Grigoriadis; J L Tedesco; S R George; U Svensson; J L Nilsson; J L Neumeyer
Journal:  Mol Pharmacol       Date:  1985-11       Impact factor: 4.436

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  26 in total

1.  A molecular-field-based similarity study of non-nucleoside HIV-1 reverse transcriptase inhibitors. 2. The relationship between alignment solutions obtained from conformationally rigid and flexible matching.

Authors:  J Mestres; D C Rohrer; G M Maggiora
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  Strategies for the determination of pharmacophoric 3D database queries.

Authors:  J H Van Drie
Journal:  J Comput Aided Mol Des       Date:  1997-01       Impact factor: 3.686

3.  Automated site-directed drug design: the generation of a basic set of fragments to be used for automated structure assembly.

Authors:  P L Chau; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1992-08       Impact factor: 3.686

4.  Designing the molecular future.

Authors:  Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2011-11-30       Impact factor: 3.686

5.  Automated site-directed drug design: approaches to the formation of 3D molecular graphs.

Authors:  R A Lewis
Journal:  J Comput Aided Mol Des       Date:  1990-06       Impact factor: 3.686

6.  In search of new lead compounds for trypanosomiasis drug design: a protein structure-based linked-fragment approach.

Authors:  C L Verlinde; G Rudenko; W G Hol
Journal:  J Comput Aided Mol Des       Date:  1992-04       Impact factor: 3.686

7.  Hydrophobic molecular similarity from MST fractional contributions to the octanol/water partition coefficient.

Authors:  Jordi Muñoz-Muriedas; Samantha Perspicace; Nuria Bech; Salvatore Guccione; Modesto Orozco; F Javier Luque
Journal:  J Comput Aided Mol Des       Date:  2005-06       Impact factor: 3.686

8.  PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results.

Authors:  Steven L Dixon; Alexander M Smondyrev; Eric H Knoll; Shashidhar N Rao; David E Shaw; Richard A Friesner
Journal:  J Comput Aided Mol Des       Date:  2006-11-24       Impact factor: 3.686

Review 9.  Pharmacophore-based discovery of ligands for drug transporters.

Authors:  Cheng Chang; Sean Ekins; Praveen Bahadduri; Peter W Swaan
Journal:  Adv Drug Deliv Rev       Date:  2006-09-26       Impact factor: 15.470

Review 10.  Mass receptor screening for new drugs.

Authors:  R M Burch; D J Kyle
Journal:  Pharm Res       Date:  1991-02       Impact factor: 4.200

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