Evidence map›Paper›PMID 32707811›Full record

ArticleMolecules (Basel, Switzerland)2020

Bottom-Up Design Approach for OBOC Peptide Libraries.

Daniela Kalafatovic, Goran Mauša, Dina Rešetar Maslov, Ernest Giralt

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Daniela KalafatovicDepartment of Biotechnology, University of Rijeka, Radmile Matejčić 2, 51000 Rijeka, Croatia.ORCID 0000-0002-9685-1162
Goran MaušaFaculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.
Dina Rešetar MaslovDepartment of Biotechnology, University of Rijeka, Radmile Matejčić 2, 51000 Rijeka, Croatia.
Ernest GiraltInstitute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Baldiri Reixac, 10, 08028 Barcelona, Spain.

Funding

Generalitat de Catalunya XRB and 2017SGR0998Hrvatska Zaklada za Znanost UIP-2019-04-7999Ministerio de Economía, Industria y Competitividad, Gobierno de España BIO2016-75327-RUniversity of Rijeka uniri-pr-tehnic-19-10
6 · The paper itself

Abstract

One-bead-one-compound peptide libraries, developed following the top-down experimental approach, have attracted great interest in the identification of potential ligands or active peptides. By exploiting a reverse experimental design approach based on the bottom-up strategy, we aimed to develop simplified, maximally diverse peptide libraries that resulted in the successful characterization of mixture components. We show that libraries of 32 and 48 components can be successfully detected in a single run using chromatography coupled to mass spectrometry (UPLC-MS). The proposed libraries were further theoretically evaluated in terms of their composition and physico-chemical properties. By combining the knowledge obtained on single libraries we can cover larger sequence spaces and provide a controlled exploration of the peptide chemical space both theoretically and experimentally. Designing libraries by using the bottom-up approach opens up the possibility of rationally fine-tuning the library complexity based on the available analytical methods.

Indexed as

Peptide LibraryAlgorithmsAmino AcidsAmino Acid SequenceChromatography, High Pressure LiquidCombinatorial Chemistry TechniquesMicrospheresPeptidesSolid-Phase Synthesis TechniquesTandem Mass SpectrometryAmino AcidsPeptide LibraryPeptidesbottom-up designcombinatorialOBOC peptide librariesUPLC-MS analysis

Identifiers

PMID32707811
PMCPMC7435479

What OpenQuestion holds

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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.