Evidence map›Paper›PMID 21365221›Full record

ArticleJournal of molecular modeling2011

Study of protein complexes via homology modeling, applied to cysteine proteases and their protein inhibitors.

Ozlem Tastan Bishop, Matthys Kroon

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Investigation of Multi-SubunitInternational journal of molecular sciences · 2023
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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

2 authors at 1 institution in 1 country.

Ozlem Tastan BishopRhodes University Bioinformatics (RUBi), Department of Biochemistry, Microbiology and Biotechnology, Rhodes University, Grahamstown 6140, South Africa. o.tastanbishop@ru.ac.za
Matthys Kroon
Rhodes University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper develops and evaluates large-scale calculation of 3D structures of protein complexes by homology modeling as a promising new approach for protein docking. The complexes investigated were papain-like cysteine proteases and their protein inhibitors, which play numerous roles in human and parasitic metabolisms. The structural modeling was performed in two parts. For the first part (evaluation set), nine crystal structure complexes were selected, 1325 homology models of known complexes were rebuilt by various templates including hybrids, allowing an analysis of the factors influencing the accuracy of the models. The important considerations for modeling the interface were protease coverage and inhibitor sequence identity. In the second part (study set), the findings of the evaluation set were used to select appropriate templates to model novel cysteine protease-inhibitor complexes from human and malaria parasites Plasmodium falciparum and Plasmodium vivax. The energy scores, considering the evaluation set, indicate that the models are of high accuracy.

Indexed as

Models, MolecularAmino Acid SequenceAnimalsAntimalarialsCrystallography, X-RayCysteine ProteasesCysteine Proteinase InhibitorsDatabases, ProteinHumansMalaria, FalciparumMalaria, VivaxMolecular Sequence DataPlasmodium falciparumPlasmodium vivaxSequence AlignmentSequence Homology, Amino AcidAntimalarialsCysteine ProteasesCysteine Proteinase Inhibitors

Identifiers

PMID21365221
OpenAlexW2001110428

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.