Evidence map›Paper›PMID 38661218›Full record

ArticleNucleic acids research2024

The Damietta Server: a comprehensive protein design toolkit.

Iwan Grin, Kateryna Maksymenko, Tobias Wörtwein, Mohammad ElGamacy

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Tuning of G-CSFR signaling by de novo-designed agonists.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  3. A Complementarity-Based Approach to De Novo Binder Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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.

Iwan GrinInterfaculty Institute of Microbiology and Infection Medicine (IMIT), University of Tübingen, Tübingen, Germany.ORCID 0000-0001-7061-9018
Kateryna MaksymenkoMax Planck Institute for Biology, Department of Protein Evolution, Tübingen, Germany.ORCID 0000-0002-0543-1323
Tobias WörtweinMax Planck Institute for Biology, Department of Protein Evolution, Tübingen, Germany.ORCID 0009-0005-0891-3116
Mohammad ElGamacyMax Planck Institute for Biology, Department of Protein Evolution, Tübingen, Germany.ORCID 0000-0002-3446-8774

Funding

Bundesministerium für Bildung und ForschungDeutsche Forschungsgemeinschaft 500215849Medical Library, University Hospital Tübingen 031A532BM. Schickedanz KinderkrebsstiftungUniversity Library, University of Tübingen
6 · The paper itself

Abstract

The growing importance of protein design to various research disciplines motivates the development of integrative computational platforms that enhance the accessibility and interoperability of different design tools. To this end, we describe a web-based toolkit that builds on the Damietta protein design engine, which deploys a tensorized energy calculation framework. The Damietta Server seamlessly integrates different design tools, in addition to other tools such as message-passing neural networks and molecular dynamics routines, allowing the user to perform multiple operations on structural models and forward them across tools. The toolkit can be used for tasks such as core or interface design, symmetric design, mutagenic scanning, or conformational sampling, through an intuitive user interface. With the envisioned integration of more tools, the Damietta Server will provide a central resource for protein design and analysis, benefiting basic and applied biomedical research communities. The toolkit is available with no login requirement through https://damietta.de/.

Indexed as

InternetProteinsSoftwareMolecular Dynamics SimulationProtein ConformationProtein EngineeringUser-Computer InterfaceProteins

Identifiers

PMID38661218
PMCPMC11223796

What OpenQuestion holds

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LicenceCC BY
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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.