Insight into the structure of amyloid fibrils from the analysis of globular proteins.
The conversion from soluble states into cross-beta fibrillar aggregates is a property shared by many different proteins and peptides and was hence conjectured to be a generic feature of polypeptide chains. Increasing evidence is now accumulating that such fibrillar assemblies are generally characterized by a parallel in-register alignment of beta-strands contributed by distinct protein molecules. Here we assume a universal mechanism is responsible for beta-structure formation and deduce sequence-specific interaction energies between pairs of protein fragments from a statistical analysis of the native folds of globular proteins. The derived fragment-fragment interaction was implemented within a novel algorithm, prediction of amyloid structure aggregation (PASTA), to investigate the role of sequence heterogeneity in driving specific aggregation into ordered self-propagating cross-beta structures. The algorithm predicts that the parallel in-register arrangement of sequence portions that participate in the fibril cross-beta core is favoured in most cases. However, the antiparallel arrangement is correctly discriminated when present in fibrils formed by short peptides. The predictions of the most aggregation-prone portions of initially unfolded polypeptide chains are also in excellent agreement with available experimental observations. These results corroborate the recent hypothesis that the amyloid structure is stabilised by the same physicochemical determinants as those operating in folded proteins. They also suggest that side chain-side chain interaction across neighbouring beta-strands is a key determinant of amyloid fibril formation and of their self-propagating ability.
Trovato
Antonio
A
Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia, Unità di Padova, Padua, Italy. trovato@pd.infn.it
Chiti
Fabrizio
F
Maritan
Amos
A
Seno
Flavio
F
D000595:Amino Acid Sequence; D000682:Amyloid / Q000737:chemistry* / Q000648:ultrastructure*; D003198:Computer Simulation; D008956:Models, Chemical; D008958:Models, Molecular; D008969:Molecular Sequence Data; D046912:Multiprotein Complexes / Q000737:chemistry* / Q000648:ultrastructure*; D020539:Sequence Analysis, Protein / Q000379:methods*
D000682:Amyloid; D046912:Multiprotein Complexes