Evidence map›Paper›PMID 37958949›Full record

ArticleInternational journal of molecular sciences2023

Structural Analysis and Characterization of an Antiproliferative Lectin from

Claudia F Lossio, Vinicius J S Osterne, Vanir R Pinto-Junior, Simin Chen, Messias V Oliveira, Joost Verduijn, Isabel Verbeke, Sonia Serna, Niels C Reichardt, Andre Skirtach and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. 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
0.9field-weighted citation impact, top 24% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

13 authors at 3 institutions in 3 countries.

Claudia F LossioLaboratory of Biologically Active Molecules, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza 60440-970, Brazil.ORCID 0000-0001-9472-0049
Vinicius J S OsterneLaboratory of Biologically Active Molecules, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza 60440-970, Brazil.ORCID 0000-0002-5730-8829
Vanir R Pinto-JuniorLaboratory of Biologically Active Molecules, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza 60440-970, Brazil.
Simin ChenLaboratory of Biochemistry and Glycobiology, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium.
Messias V OliveiraLaboratory of Biologically Active Molecules, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza 60440-970, Brazil.
Joost VerduijnNano-Biotechnology Group, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-8478-0344
Isabel VerbekeLaboratory of Biochemistry and Glycobiology, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium.
Sonia SernaGlycotechnology Lab, Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.ORCID 0000-0002-2085-4412
Niels C ReichardtGlycotechnology Lab, Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 194, 20014 Donostia-San Sebastián, Spain.
Andre SkirtachNano-Biotechnology Group, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-4468-7620
Benildo S CavadaLaboratory of Biologically Active Molecules, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza 60440-970, Brazil.ORCID 0000-0002-5791-6170
Els J M Van DammeLaboratory of Biochemistry and Glycobiology, Department of Biotechnology, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0001-9848-766X
Kyria S NascimentoLaboratory of Biologically Active Molecules, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza 60440-970, Brazil.
Universidade Federal do Ceará · BRGhent University · BECIC biomaGUNE · ES

Funding

Basque Government, Elkartek bmg21Coordenação de Aperfeicoamento de Pessoal de Nível Superior Not applicableFundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico Not applicableMaria de Maeztu Units of Excellence Program MDM-2017-0720Ministry of Science and Education (MINECO) CTQ 2017-90039-RMinistry of Science and Education (MINECO) RTC-2017-6126-1National Council for Scientific and Technological Development not applicableResearch Foundation - Flanders 12T4622NSpanish State Research Agency - AEI PID2020-117552RB-I00
6 · The paper itself

Abstract

Cells use glycans to encode information that modulates processes ranging from cell-cell recognition to programmed cell death. This information is encoded within a glycocode, and its decoding is performed by carbohydrate-binding proteins. Among these, lectins stand out due to their specific and reversible interaction with carbohydrates. Changes in glycosylation patterns are observed in several pathologies, including cancer, where abnormal glycans are found on the surfaces of affected tissues. Given the importance of the bioprospection of promising biomolecules, the current work aimed to determine the structural properties and anticancer potential of the mannose-specific lectin from seeds of

Indexed as

CanavaliaLectinsCarbohydratesMolecular Docking SimulationPlant LectinsPolysaccharidesSeedsCarbohydratesLectinsPlant LectinsPolysaccharidesCanavalia villosacancerglycanslectin

Identifiers

PMID37958949
PMCPMC10649158
OpenAlexW4388335804

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.