Artículo
Soft computing methods for the prediction of protein tertiary structures: A survey
Autor/es | Márquez Chamorro, Alfonso Eduardo
Asencio Cortés, Gualberto Santiesteban Toca, Cosme E. Aguilar Ruiz, Jesús Salvador |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2015 |
Fecha de depósito | 2022-05-24 |
Publicado en |
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Resumen | The problem of protein structure prediction (PSP) represents one of the most important challenges in
computational biology. Determining the three dimensional structure of proteins is necessary to under stand their functions ... The problem of protein structure prediction (PSP) represents one of the most important challenges in computational biology. Determining the three dimensional structure of proteins is necessary to under stand their functions at molecular level. The most representative soft computing approaches for solving the protein tertiary structure prediction problem are summarized in this paper. These approaches have been categorized following the type of methodology. A total of 90 relevant works published in last 15 years in the field of protein structure prediction have been reported, including the best competitors in last CASP editions. However, despite large research effort in last decades, a considerable scope for further improvement still remains in this area. |
Agencias financiadoras | Junta de Andalucía Ministerio de Educación y Ciencia (MEC). España |
Identificador del proyecto | P07-TIC-02611
TIN2011-28956-C02-01 |
Cita | Márquez Chamorro, A.E., Asencio Cortés, G., Santiesteban Toca, C.E. y Aguilar Ruiz, J.S. (2015). Soft computing methods for the prediction of protein tertiary structures: A survey. Applied Soft Computing, 35 (October 2015), 398-410. |
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