Every protagonist has a sidekick: Structural aspects of human xeroderma pigmentosum‐binding proteins in nucleotide excision repair is a research paper published in Protein Science (2021). On theSindex it has a DataRank of 0.341. It has been cited 7 times, with 4 citing works in its 1-hop citation network.
AbstractThe seven xeroderma pigmentosum proteins (XPps), XPA–XPG, coordinate the nucleotide excision repair (NER) pathway, promoting the excision of DNA lesions caused by exposition to ionizing radiation, majorly from ultraviolet light. Significant efforts are made to investigate NER since mutations in any of the seven XPps may cause the xeroderma pigmentosum and trichothiodystrophy diseases. However, these proteins collaborate with other pivotal players in all known NER steps to accurately exert their purposes. Therefore, in the old and ever‐evolving field of DNA repair, it is imperative to reexamine and describe their structures to understand NER properly. This work provides an up‐to‐date review of the protein structural aspects of the closest partners that directly interact and influence XPps: RAD23B, CETN2, DDB1, RPA (RPA70, 32, and 14), p8 (GTF2H5), and ERCC1. Structurally and functionally vital domains, regions, and critical residues are reexamined, providing structural lessons and perspectives about these indispensable proteins in the NER and other DNA repair pathways. By gathering all data related to the major human xeroderma pigmentosum‐interacting proteins, this review will aid newcomers on the subject and guide structural and functional future studies.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.312
From this paper's citation signal
Citation Network Contribution
0.0292
From 2 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 91% comes from its base citations and 9% from the citation network (2 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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