Literature DB >> 16870830

Computational approaches for the prediction of protein function in the mitochondrion.

Toni Gabaldón1.   

Abstract

Understanding a complex biological system, such as the mitochondrion, requires the identification of the complete repertoire of proteins targeted to the organelle, the characterization of these, and finally, the elucidation of the functional and physical interactions that occur within the mitochondrion. In the last decade, significant developments have contributed to increase our understanding of the mitochondrion, and among these, computational research has played a significant role. Not only general bioinformatics tools have been applied in the context of the mitochondrion, but also some computational techniques have been specifically developed to address problems that arose from within the mitochondrial research field. In this review the contribution of bioinformatics to mitochondrial biology is addressed through a survey of current computational methods that can be applied to predict which proteins will be localized to the mitochondrion and to unravel their functional interactions.

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Year:  2006        PMID: 16870830     DOI: 10.1152/ajpcell.00225.2006

Source DB:  PubMed          Journal:  Am J Physiol Cell Physiol        ISSN: 0363-6143            Impact factor:   4.249


  4 in total

1.  Inferring gene duplications, transfers and losses can be done in a discrete framework.

Authors:  Vincent Ranwez; Celine Scornavacca; Jean-Philippe Doyon; Vincent Berry
Journal:  J Math Biol       Date:  2015-09-04       Impact factor: 2.259

2.  Construction of a synthetic protein using PCR with a high essential amino acid content for nutritional purposes.

Authors:  Ma I Sánchez-Crisóstomo; M I Rojo-López; A Sharma; J C Cancino-Diaz; H Jaimes-Díaz; J A Ariza-Ortega; E Madrigal-Santillán; G Betanzos-Cabrera
Journal:  Mol Biol Rep       Date:  2019-02-01       Impact factor: 2.316

Review 3.  Biochemical functional predictions for protein structures of unknown or uncertain function.

Authors:  Caitlyn L Mills; Penny J Beuning; Mary Jo Ondrechen
Journal:  Comput Struct Biotechnol J       Date:  2015-02-18       Impact factor: 7.271

4.  Shared evolutionary footprints suggest mitochondrial oxidative damage underlies multiple complex I losses in fungi.

Authors:  Miquel Àngel Schikora-Tamarit; Marina Marcet-Houben; Jozef Nosek; Toni Gabaldón
Journal:  Open Biol       Date:  2021-04-28       Impact factor: 6.411

  4 in total

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