Evidence map›Paper›PMID 34866607›Full record

ArticleActa crystallographica. Section D, Structural biology2021

Ten things I `hate' about refinement.

Pietro Roversi, Dale E Tronrud

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. A database overview of metal-coordination distances in metalloproteins.Acta crystallographica. Section D, Structural biology · 2024
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Pietro RoversiInstitute of Agricultural Biology and Biotechnology, IBBA-CNR Unit of Milano, Via Bassini 15, I-20133 Milano, Italy.
Dale E TronrudDepartment of Biochemistry and Biophysics, Oregon State University, Corvallis, OR 97331, USA.

Funding

Wellcome TrustWellcome Trust 204801/Z/16/ZWellcome Trust 214090/Z/18/Z
6 · The paper itself

Abstract

Macromolecular refinement is an optimization process that aims to produce the most likely macromolecular structural model in the light of experimental data. As such, macromolecular refinement is one of the most complex optimization problems in wide use. Macromolecular refinement programs have to deal with the complex relationship between the parameters of the atomic model and the experimental data, as well as a large number of types of prior knowledge about chemical structure. This paper draws attention to areas of unfinished business in the field of macromolecular refinement. In it, we describe ten refinement topics that we think deserve attention and discuss directions leading to macromolecular refinement software that would make the best use of modern computer resources to meet the needs of structural biologists of the twenty-first century.

Indexed as

HumansMacromolecular SubstancesMolecular StructureSoftwareMacromolecular Substancesbiascorrelationsrefinementrestraints

Identifiers

PMID34866607
PMCPMC8647177

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.