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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Papel de la brecha energética biomolecular en el diseño, estructura y evolución de las proteínas
Sarel J Fleishman1, David Baker
1Department of Biological Chemistry, Weizmann Institute of Science, Rehovot 76100, Israel. sarel@weizmann.ac.il
Cell
|April 17, 2012
Resumen
Los biopolímeros naturales se pliegan en formas funcionales debido a una brecha de energía significativa. Esta perspectiva explora las implicaciones para la predicción de la estructura de las proteínas, el diseño y la integración del experimento con la computación.
Área de la Ciencia:
- La biofísica es la biofísica.
- Biología computacional Biología computacional.
- Ciencia de las proteínas Ciencia de las proteínas.
Sus antecedentes:
- Los biopolímeros naturales se pliegan en estructuras 3D específicas esenciales para sus funciones biológicas.
- Este proceso de plegado es notable dada la gran cantidad de posibles estados conformacionales.
- Una importante brecha energética distingue el estado funcional de numerosas alternativas.
Objetivo del estudio:
- Explorar las implicaciones de la brecha energética de los biopolímeros.
- Discutir los desafíos y oportunidades en el cálculo de estructuras de biopolímeros.
- Examinar el diseño de nuevas proteínas con nuevas funciones.
- Para resaltar la integración de enfoques experimentales y computacionales.
- Para trazar paralelismos entre el diseño computacional y la evolución natural.
Principales métodos:
- Esta perspectiva sintetiza el entendimiento actual y las consideraciones teóricas.
- Revisa las implicaciones para los algoritmos de predicción de la estructura.
- Se discuten estrategias para el diseño de proteínas de novo.
- Examina los marcos para la integración de datos computacionales y experimentales.
Principales resultados:
- La brecha energética es crucial para la predicción confiable de la estructura y el diseño de novo.
- La optimización de la integración de la computación y el experimento es clave para avanzar en el campo.
- Existen paralelos entre los procesos evolutivos y la generación computacional de moléculas.
Conclusiones:
- Comprender la brecha energética es fundamental para la predicción y el diseño de la estructura de los biopolímeros.
- La integración sinérgica del experimento y la computación acelera el descubrimiento.
- Los principios de diseño computacional pueden reflejar aspectos de la evolución molecular natural.
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