Evidence map›Paper›PMID 25343504›Full record

ArticlePloS one2014

Computational design of protein-based inhibitors of Plasmodium vivax subtilisin-like 1 protease.

Giacomo Bastianelli, Anthony Bouillon, Christophe Nguyen, Dung Le-Nguyen, Michael Nilges, Jean-Christophe Barale

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Giacomo BastianelliInstitut Pasteur, Unité de Bioinformatique Structurale, Département de Biologie Structurale et Chimie, Paris, France; CNRS UMR 3528, Paris, France.
Anthony BouillonInstitut Pasteur, Unité d'Immunologie Moléculaires des Parasites, Département de Parasitologie et de Mycologie & CNRS URA 2581, Paris, France; CNRS, URA2581, Paris, France.
Christophe NguyenSYSDIAG, CNRS UMR3145 CNRS-BioRad, Montpellier, France.
Dung Le-NguyenSYSDIAG, CNRS UMR3145 CNRS-BioRad, Montpellier, France.
Michael NilgesInstitut Pasteur, Unité de Bioinformatique Structurale, Département de Biologie Structurale et Chimie, Paris, France; CNRS UMR 3528, Paris, France.
Jean-Christophe BaraleInstitut Pasteur, Unité d'Immunologie Moléculaires des Parasites, Département de Parasitologie et de Mycologie & CNRS URA 2581, Paris, France; CNRS, URA2581, Paris, France.
Centre National de la Recherche Scientifique · FRInstitut Pasteur · FRModélisation et Ingénierie des Systèmes Complexes Biologiques pour le Diagnostic · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria remains a major global health concern. The development of novel therapeutic strategies is critical to overcome the selection of multiresistant parasites. The subtilisin-like protease (SUB1) involved in the egress of daughter Plasmodium parasites from infected erythrocytes and in their subsequent invasion into fresh erythrocytes has emerged as an interesting new drug target.

findingsUsing a computational approach based on homology modeling, protein-protein docking and mutation scoring, we designed protein-based inhibitors of Plasmodium vivax SUB1 (PvSUB1) and experimentally evaluated their inhibitory activity. The small peptidic trypsin inhibitor EETI-II was used as scaffold. We mutated residues at specific positions (P4 and P1) and calculated the change in free-energy of binding with PvSUB1. In agreement with our predictions, we identified a mutant of EETI-II (EETI-II-P4LP1W) with a Ki in the medium micromolar range.

conclusionsDespite the challenges related to the lack of an experimental structure of PvSUB1, the computational protocol we developed in this study led to the design of protein-based inhibitors of PvSUB1. The approach we describe in this paper, together with other examples, demonstrates the capabilities of computational procedures to accelerate and guide the design of novel proteins with interesting therapeutic applications.

Indexed as

Molecular Docking SimulationCatalysisCrystallography, X-RayHumansMalaria, VivaxPlasmodium vivaxProtein BindingProtein ConformationProtozoan ProteinsSequence Homology, Amino AcidSubtilisinsProtozoan Proteinssubtilisin-like protease 1, Plasmodium falciparumSubtilisins

Identifiers

PMID25343504
PMCPMC4208747
OpenAlexW1967592167

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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.