Protein amyloid aggregate: Structure and function is a research paper published in Aggregate (2023). On theSindex it has a DataRank of 1.3. It has been cited 48 times, with 39 citing works in its 1-hop citation network.
AbstractProtein amyloid aggregation has been widely observed to occur and plays important roles in both physiological processes and pathological diseases. Remarkably, amyloid aggregates assembled by native proteins gain a variety of different biological activities, which cannot be adopted by the unassembled protein alone. Thus, it is important to investigate the molecular basis of self‐assembly of protein amyloid aggregates and how the aggregated protein structure determines its function. In the review, we firstly introduce our structural knowledge on how different amyloid proteins undergo conformational transition and assemble into amyloid aggregate, with the main focus on amyloid fibril, which is the major species of amyloid aggregate. Then, we elaborate how different structures of amyloid fibrils enable them to fulfill highly diverse functions in either physiological or pathological condition. Furthermore, we discuss the structural polymorph which is a very unique feature of amyloid fibril, and its implication in understanding the structure‐function relationship of amyloid fibrils. Finally, we point out the importance of applying and integrating new approaches for deepening the structure‐function study of amyloid fibrils and highlight the potential of designing amyloid fibril‐based functional bio‐nanomaterials for application.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.584
From this paper's citation signal
Citation Network Contribution
0.709
From 35 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 45% comes from its base citations and 55% from the citation network (35 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.
Click a node to highlight its connections. Use scroll to zoom. Drag to pan.