Aminergic fragment library; Desirability function; Fragment based drug discovery; G protein coupled receptors
Indexed keywords
ATOMS;
DIGITAL LIBRARIES;
AMINERGIC FRAGMENT LIBRARY;
CLASS A;
DESIRABILITY FUNCTION;
DRUG DISCOVERY;
FRAGMENT-BASED DRUG DISCOVERY;
G PROTEIN COUPLED RECEPTORS;
PHYSICOCHEMICAL PROPERTY;
PROPERTY;
PROPERTY-BASED;
SCORING SCHEMES;
LIBRARIES;
G PROTEIN COUPLED RECEPTOR;
NITROGEN;
OXYGEN;
LIGAND;
MOLECULAR LIBRARY;
PEPTIDE FRAGMENT;
ARTICLE;
PH;
PHYSICAL CHEMISTRY;
PRIORITY JOURNAL;
PROTEIN ANALYSIS;
PROTEIN FUNCTION;
SCORING SYSTEM;
SCREENING;
VALIDATION STUDY;
CHEMISTRY;
DRUG DEVELOPMENT;
FACTUAL DATABASE;
METABOLISM;
MOLECULAR LIBRARY;
REPRODUCIBILITY;
STRUCTURE ACTIVITY RELATION;
DATABASES, FACTUAL;
DRUG DISCOVERY;
LIGANDS;
NITROGEN;
OXYGEN;
PEPTIDE FRAGMENTS;
RECEPTORS, G-PROTEIN-COUPLED;
REPRODUCIBILITY OF RESULTS;
SMALL MOLECULE LIBRARIES;
STRUCTURE-ACTIVITY RELATIONSHIP;
Balakin KV, Tkachenko SE, Lang SA, Okun I, Ivashchenko AA, Savchuk NP (2002) Property-based design of GPCR-targeted library. J Chem Inf Comput Sci 42:1332-1342
Moving beyond rules: The development of a central nervous system multiparameter optimization (CNS MPO) approach to enable alignment of drug-like properties
1:CAS:528:DC%2BC3cXjvVejtr8%3D
Wager TT, Hou X, Verhoest PR, Villalobos A (2010) Moving beyond rules: the development of a central nervous system multiparameter optimization (CNS MPO) approach to enable alignment of drug-like properties. ACS Chem Neurosci 1:435-449