Predicting complexation thermodynamic parameters of β-cyclodextrin with chiral guests by using swarm intelligence and support vector machines

International Journal of Molecular Sciences

Volumn 10, Issue 5, 2009, Pages 2107-2121

  Prakasvudhisarn, Chakguy ^a   Wolschann, Peter ^b   Lawtrakul, Luckhana ^c  

^a SHINAWATRA UNIVERSITY   (Thailand)

^b UNIVERSITY OF VIENNA   (Austria)

^c THAMMASAT UNIVERSITY   (Thailand)

Author keywords

cyclodextrin inclusion complexes; Particle Swarm Optimization; QSPR; Support Vector Machines

Indexed keywords

BETA CYCLODEXTRIN;

ANALYTICAL PARAMETERS; ARTICLE; CHIRALITY; COMPLEX FORMATION; INTELLIGENCE; MODEL; PREDICTION; PROTEIN ANALYSIS; QUANTITATIVE STRUCTURE PROPERTY RELATION; SUPPORT VECTOR MACHINE; THERMODYNAMICS;

Β-CYCLODEXTRIN INCLUSION COMPLEXES; PARTICLE SWARM OPTIMIZATION; QSPR; SUPPORT VECTOR MACHINES;

ALGORITHMS; BETA-CYCLODEXTRINS; DRUG DESIGN; MODELS, THEORETICAL; MOLECULAR DOCKING SIMULATION; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SUPPORT VECTOR MACHINES; THERMODYNAMICS;

EID: 67049119562     PISSN: None     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms10052107     Document Type: Article

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