Many different proteins aggregate into amyloid fibrils characterized by cross-beta structure. beta-strands contributed by distinct protein molecules are generally found in a parallel in-register alignment. Here, we describe the web server for a novel algorithm, prediction of amyloid structure aggregation (PASTA), to predict the most aggregation-prone portions and the corresponding beta-strand inter-molecular pairing for a given input sequence. PASTA was previously shown to yield results in excellent agreement with available experimental observations, when tested on both natively unfolded and structured proteins. The web server and downloadable source code are freely accessible from the URL: http://protein.cribi.unipd.it/pasta/.

The PASTA server for protein aggregation prediction

TROVATO, ANTONIO;SENO, FLAVIO;TOSATTO, SILVIO
2007

Abstract

Many different proteins aggregate into amyloid fibrils characterized by cross-beta structure. beta-strands contributed by distinct protein molecules are generally found in a parallel in-register alignment. Here, we describe the web server for a novel algorithm, prediction of amyloid structure aggregation (PASTA), to predict the most aggregation-prone portions and the corresponding beta-strand inter-molecular pairing for a given input sequence. PASTA was previously shown to yield results in excellent agreement with available experimental observations, when tested on both natively unfolded and structured proteins. The web server and downloadable source code are freely accessible from the URL: http://protein.cribi.unipd.it/pasta/.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2446657
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