Fragment-based determination of a proteinase K structure from MicroED data using ARCIMBOLDO_SHREDDER

Author:

Richards Logan S.,Millán Claudia,Miao Jennifer,Martynowycz Michael W.,Sawaya Michael R.,Gonen Tamir,Borges Rafael J.,Usón Isabel,Rodriguez Jose A.

Abstract

Structure determination of novel biological macromolecules by X-ray crystallography can be facilitated by the use of small structural fragments, some of only a few residues in length, as effective search models for molecular replacement to overcome the phase problem. Independence from the need for a complete pre-existing model with sequence similarity to the crystallized molecule is the primary appeal of ARCIMBOLDO, a suite of programs which employs this ab initio algorithm for phase determination. Here, the use of ARCIMBOLDO is investigated to overcome the phase problem with the electron cryomicroscopy (cryoEM) method known as microcrystal electron diffraction (MicroED). The results support the use of the ARCIMBOLDO_SHREDDER pipeline to provide phasing solutions for a structure of proteinase K from 1.6 Å resolution data using model fragments derived from the structures of proteins sharing a sequence identity of as low as 20%. ARCIMBOLDO_SHREDDER identified the most accurate polyalanine fragments from a set of distantly related sequence homologues. Alternatively, such templates were extracted in spherical volumes and given internal degrees of freedom to refine towards the target structure. Both modes relied on the rotation function in Phaser to identify or refine fragment models and its translation function to place them. Model completion from the placed fragments proceeded through phase combination of partial solutions and/or density modification and main-chain autotracing using SHELXE. The combined set of fragments was sufficient to arrive at a solution that resembled that determined by conventional molecular replacement using the known target structure as a search model. This approach obviates the need for a single, complete and highly accurate search model when phasing MicroED data, and permits the evaluation of large fragment libraries for this purpose.

Funder

National Science Foundation

U.S. Department of Energy

National Institutes of Health

U.S. Public Health Service

Fundação de Amparo à Pesquisa do Estado de São Paulo

Ministerio de Ciencia e Innovación

Ministerio de Economía y Competitividad

Generalitat de Catalunya

Searle Scholars Program

Pew Charitable Trusts

Arnold and Mabel Beckman Foundation

Howard Hughes Medical Institute

Publisher

Wiley

Subject

Structural Biology

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