Evidence map›Paper›PMID 39738463›Full record

ArticleScientific reports2024

Challenges in adjusting scoring matrices when comparing functional motifs with non-standard compositions.

Patryk Jarnot

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

1 author.

Patryk JarnotDepartment of Computer Networks and Systems, Silesian University of Technology, 44-100, Gliwice, Poland. patryk.jarnot@polsl.pl.

Funding

Narodowe Centrum Nauki 2021/41/N/ST6/01919
6 · The paper itself

Abstract

Methods for scoring matrix adjustment decrease the significance of biased residues to better detect homology between protein sequences. This is because non-homologous proteins often contain fragments with non-standard compositions that are strikingly similar to each other. However, these fragments are also functionally important in proteins and are receiving an increasing attention from the scientific community. In this study, we described why the gold standard method for scoring matrix adjustment is unable to emphasise frequent amino acids. Further, we used BLAST to align collagen-like domains with and without the scoring matrix adjustment and compared the results. We found that the scoring matrices were adjusted in the opposite direction to the optimal state. Therefore, turning off the adjustment improved alignment quality of collagen-like domains, but scoring matrices still need refinement. This study provides a detailed analysis of why the gold standard method fails, and opens doors for new methods to adjust scoring matrices for functional motifs with non-standard compositions.

Indexed as

Amino Acid MotifsAmino Acid SequenceCollagenComputational BiologyProteinsSequence AlignmentSequence Analysis, ProteinCollagenProteinsNon-standard compositionsProtein sequenceScoring matrix adjustmentSimilarity search

Identifiers

PMID39738463
PMCPMC11685636

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Registered trials

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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.