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Computational methods to assist in the discovery of pharmacological chaperones for rare diseases.
Scafuri, Bernardina; Verdino, Anna; D'Arminio, Nancy; Marabotti, Anna.
Afiliación
  • Scafuri B; Department of Chemistry and Biology "A. Zambelli", University of Salerno, via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy.
  • Verdino A; Department of Chemistry and Biology "A. Zambelli", University of Salerno, via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy.
  • D'Arminio N; Department of Chemistry and Biology "A. Zambelli", University of Salerno, via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy.
  • Marabotti A; Department of Chemistry and Biology "A. Zambelli", University of Salerno, via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy.
Brief Bioinform ; 23(5)2022 09 20.
Article en En | MEDLINE | ID: mdl-35595532
Pharmacological chaperones are chemical compounds able to bind proteins and stabilize them against denaturation and following degradation. Some pharmacological chaperones have been approved, or are under investigation, for the treatment of rare inborn errors of metabolism, caused by genetic mutations that often can destabilize the structure of the wild-type proteins expressed by that gene. Given that, for rare diseases, there is a general lack of pharmacological treatments, many expectations are poured out on this type of compounds. However, their discovery is not straightforward. In this review, we would like to focus on the computational methods that can assist and accelerate the search for these compounds, showing also examples in which these methods were successfully applied for the discovery of promising molecules belonging to this new category of pharmacologically active compounds.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Chaperonas Moleculares / Enfermedades Raras Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Chaperonas Moleculares / Enfermedades Raras Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Italia
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