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1.
DNA Repair (Amst) ; 44: 123-135, 2016 08.
Artículo en Inglés | MEDLINE | ID: mdl-27247238

RESUMEN

Nucleotide excision repair (NER) is essential for removing many types of DNA lesions from the genome, yet the mechanisms of NER in humans remain poorly understood. This review summarizes our current understanding of the structure, biochemistry, interaction partners, mechanisms, and disease-associated mutations of one of the critical NER proteins, XPA.


Asunto(s)
Reparación del ADN , ADN/metabolismo , Proteína de la Xerodermia Pigmentosa del Grupo A/metabolismo , Xerodermia Pigmentosa/genética , Secuencia de Aminoácidos , Animales , ADN/química , Daño del ADN , Humanos , Modelos Moleculares , Mutación , Unión Proteica , Dominios Proteicos , Mapeo de Interacción de Proteínas , Estructura Secundaria de Proteína , Índice de Severidad de la Enfermedad , Xerodermia Pigmentosa/metabolismo , Xerodermia Pigmentosa/patología , Proteína de la Xerodermia Pigmentosa del Grupo A/química , Proteína de la Xerodermia Pigmentosa del Grupo A/genética
2.
Behav Res Methods ; 43(3): 746-60, 2011 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-21557006

RESUMEN

Although word co-occurrences within a document have been demonstrated to be semantically useful, word interactions over a local range have been largely neglected by psychologists due to practical challenges. Shannon's (Bell Systems Technical Journal, 27, 379-423, 623-665, 1948) conceptualization of information theory suggests that these interactions should be useful for understanding communication. Computational advances make an examination of local word-word interactions possible for a large text corpus. We used Brants and Franz's (2006) dataset to generate conditional probabilities for 62,474 word pairs and entropy calculations for 9,917 words in Nelson, McEvoy, and Schreiber's (Behavior Research Methods, Instruments, & Computers, 36, 402-407, 2004) free association norms. Semantic associativity correlated moderately with the probabilities and was stronger when the two words were not adjacent. The number of semantic associates for a word and the entropy of a word were also correlated. Finally, language entropy decreases from 11 bits for single words to 6 bits per word for four-word sequences. The probabilities and entropies discussed here are included in the supplemental materials for the article.


Asunto(s)
Teoría de la Información , Lenguaje , Semántica , Asociación Libre , Humanos
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