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Evaluation of Physicochemical Properties of Ipsapirone Derivatives Based on Chromatographic and Chemometric Approaches.
Nisterenko, Wiktor; Kulaga, Damian; Wozinski, Mateusz; Singh, Yash Raj; Judzinska, Beata; Jagiello, Karolina; Greber, Katarzyna Ewa; Sawicki, Wieslaw; Ciura, Krzesimir.
Afiliação
  • Nisterenko W; Department of Physical Chemistry, Faculty of Pharmacy, Medical University of Gdansk, Aleja Generala Józefa Hallera 107, 80-416 Gdansk, Poland.
  • Kulaga D; Department of Organic Chemistry and Technology, Faculty of Chemical Engineering and Technology, Cracow University of Technology, 24 Warszawska Street, 31-155 Cracow, Poland.
  • Wozinski M; Department of Physical Chemistry, Faculty of Pharmacy, Medical University of Gdansk, Aleja Generala Józefa Hallera 107, 80-416 Gdansk, Poland.
  • Singh YR; Department of Pharmaceutical Quality Assurance, LJ Institute of Pharmacy, LJ University, Ahmedabad 382210, India.
  • Judzinska B; QSAR Lab, Trzy Lipy 3, 80-172 Gdansk, Poland.
  • Jagiello K; Laboratory of Environmental Chemoinformatics, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308 Gdansk, Poland.
  • Greber KE; QSAR Lab, Trzy Lipy 3, 80-172 Gdansk, Poland.
  • Sawicki W; Laboratory of Environmental Chemoinformatics, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308 Gdansk, Poland.
  • Ciura K; Department of Physical Chemistry, Faculty of Pharmacy, Medical University of Gdansk, Aleja Generala Józefa Hallera 107, 80-416 Gdansk, Poland.
Molecules ; 29(8)2024 Apr 19.
Article em En | MEDLINE | ID: mdl-38675682
ABSTRACT
Drug discovery is a challenging process, with many compounds failing to progress due to unmet pharmacokinetic criteria. Lipophilicity is an important physicochemical parameter that affects various pharmacokinetic processes, including absorption, metabolism, and excretion. This study evaluated the lipophilic properties of a library of ipsapirone derivatives that were previously synthesized to affect dopamine and serotonin receptors. Lipophilicity indices were determined using computational and chromatographic approaches. In addition, the affinity to human serum albumin (HSA) and phospholipids was assessed using biomimetic chromatography protocols. Quantitative Structure-Retention Relationship (QSRR) methodologies were used to determine the impact of theoretical descriptors on experimentally determined properties. A multiple linear regression (MLR) model was calculated to identify the most important features, and genetic algorithms (GAs) were used to assist in the selection of features. The resultant models showed commendable predictive accuracy, minimal error, and good concordance correlation coefficient values of 0.876, 0.149, and 0.930 for the validation group, respectively.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade Limite: Humans Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Polônia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade Limite: Humans Idioma: En Revista: Molecules Assunto da revista: BIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Polônia