Evidence map›Paper›PMID 35298823›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Computational Design of Peptides with Improved Recognition of the Focal Adhesion Kinase FAT Domain.

Eleni Michael, Savvas Polydorides, Georgios Archontis

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
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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

3 authors.

Eleni MichaelDepartment of Physics, University of Cyprus, Nicosia, Cyprus.
Savvas PolydoridesDepartment of Physics, University of Cyprus, Nicosia, Cyprus.
Georgios ArchontisDepartment of Physics, University of Cyprus, Nicosia, Cyprus. archonti@ucy.ac.cy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a two-stage computational protein design (CPD) methodology for the design of peptides binding to the FAT domain of the protein focal adhesion kinase. The first stage involves high-throughput CPD calculations with the Proteus software. The energies of the folded state are described by a physics-based energy function and of the unfolded peptides by a knowledge-based model that reproduces aminoacid compositions consistent with a helicity scale. The obtained sequences are filtered in terms of the affinity and the stability of the complex. In the second stage, design sequences are further evaluated by all-atom molecular dynamics simulations and binding free energy calculations with a molecular mechanics/implicit solvent free energy function.

Indexed as

Focal Adhesion Protein-Tyrosine KinasesMolecular Dynamics SimulationPeptidesEntropyProtein DomainsSoftwareFocal Adhesion Protein-Tyrosine KinasesPeptidesComputational peptide designComputational protein designMolecular mechanicsMonte CarloProteus program

Identifiers

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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.