Positive selection of primate TRIM5alpha identifies a critical species-specific retroviral restriction domain.
By S. Sawyer, Lily I. Wu, M. Emerman, Harmit S. Malik. Proceedings of the National Academy of Sciences of the United States of America, 2005
677 citations recorded by the source corpus.
Subfields: Epidemiology, Virology
View Paper: https://www.semanticscholar.org/paper/d46a1e871b5edb041fe37d18a6d91df364c0354b
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In Virology
Citations in the corpus
- PAML 4: phylogenetic analysis by maximum likelihood. (2007, background): “For example, both evolutionary conservation indicating negative purifying selection and accelerated evolution driven by positive Darwinian selection have been employed to detect functionally significant regions of the genome (e.g., Thomas et al. 2003; Nielsen et al. 2005; Sawyer et al. 2005).”
- Selecton 2007: advanced models for detecting positive and purifying selection using a Bayesian inference approach (2007, methodology): “We delineate how the use of the Selecton server enables the effortless detection of the primate species-specific retroviral restriction domain of TRIM5 a found previously (21,22).”
- Origins of HIV and the AIDS pandemic. (2011, background): “Because of the constant onslaught of viral pathogens, host restriction factors evolve rapidly (Sawyer et al. 2004, 2005; McNatt et al. 2009; Lim et al. 2010).”
- TRIM family proteins: retroviral restriction and antiviral defence (2005, background): “A recent evolutionary study highlighted the importance of the SPRY domai”
- Retroviral Restriction Factor TRIM5α Is a Trimer (2005, background): “In both proposed modes of TRIM5 binding (Fig. 4), each of the lobes of the trilobed pocket accommodates a TRIM5 B30.2 domain, which has been implicated in the determination of TRIM5 antiviral potency ( 27 , 33, 38).”
- Detecting Individual Sites Subject to Episodic Diversifying Selection (2012, background): “to vary from site to site, which made it possible to identify instances when positive selection had acted only upon a small proportion of sites. Such site-level models can detect which positions in a sequence alignment may have been influenced by diversifying positive selection, e.g.”