Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Challenge data set for macromolecular multi-microcrystallography.

Acta crystallographica. Section D, Structural biology | 2019

A synthetic data set demonstrating a particularly challenging case of indexing ambiguity in the context of radiation damage was generated. This set shall serve as a standard benchmark and reference point for the ongoing development of new methods and new approaches to robust structure solution when single-crystal methods are insufficient. Of the 100 short wedges of data, only the first 36 are currently necessary to solve the structure by `cheating', or using the correct reference structure as a guide. The total wall-clock time and number of crystals required to solve the structure without cheating is proposed as a metric for the efficacy and efficiency of a given multi-crystal automation pipeline.

Pubmed ID: 30821701 RIS Download

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: P30 GM124169
  • Agency: NIGMS NIH HHS, United States
    Id: P50 GM082250
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM117126
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM124149
  • Agency: NIGMS NIH HHS, United States
    Id: P41 GM103393
  • Agency: NIAID NIH HHS, United States
    Id: P50 AI150476

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


BEAM (tool)

RRID:SCR_007258

Software application that treats the disease-associated markers and their interactions via a bayesian partitioning model and computes, via Markov chain Monte Carlo, the posterior probability that each marker set is associated with the disease. (entry from Genetic Analysis Software)

View all literature mentions