Identification of unknown proteins in X-ray crystallography and cryo-EM

Abstract Although experimental protein structure determination usually targets known proteins, chains of unknown sequence are often encountered. They can be purified from natural sources, appear as an unexpected fragment of a well characterized protein or as a contaminant. Regardless of the source of the problem, the unknown protein always requires tedious characterization. Here we present an automated pipeline for the identification of protein sequences from cryo-EM reconstructions and crystallographic data. We present the method’s application to characterize the crystal structure of an unknown protein purified from a snake venom. We also show that the approach can be successfully applied to the identification of protein sequences and validation of sequence assignments in cryo-EM protein structures..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 24. Dez. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Chojnowski, Grzegorz [VerfasserIn]
Simpkin, Adam J. [VerfasserIn]
Leonardo, Diego A. [VerfasserIn]
Seifert-Davila, Wolfram [VerfasserIn]
Vivas-Ruiz, Dan E. [VerfasserIn]
Keegan, Ronan M. [VerfasserIn]
Rigden, Daniel J. [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
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Themen:

570
Biology

doi:

10.1101/2021.04.18.440303

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI020376243