Evidence map›Paper›PMID 37933852›Full record

ArticleNucleic acids research2024

DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options.

Sushmita Basu, Bi Zhao, Bálint Biró, Eshel Faraggi, Jörg Gsponer, Gang Hu, Andrzej Kloczkowski, Nawar Malhis, Milot Mirdita, Johannes Söding and 6 more

Open access · goldAbstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Prediction of Intrinsically Disordered Regions That Bind RNA with DisoRDPbind.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Comparative assessment of binding residue predictions in intrinsically disordered regions.Protein science : a publication of the Protein Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Prediction of Intrinsic Disorder Functions with DEPICTER2.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Article
  10. Review
  11. 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

16 authors at 11 institutions in 5 countries.

Sushmita BasuDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.
Bi ZhaoGenomics Program, College of Public Health, University of South Florida, Tampa, FL, USA.ORCID 0000-0003-0009-0045
Bálint BiróDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.
Eshel FaraggiPhysics Department, Indiana University, Indianapolis, IN, USA.
Jörg GsponerMichael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-3672-6594
Gang HuSchool of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin, P.R. China.
Andrzej KloczkowskiThe Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, USA.
Nawar MalhisMichael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-1317-833X
Milot MirditaSchool of Biological Sciences, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-8637-6719
Johannes SödingQuantitative and Computational Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.ORCID 0000-0001-9642-8244
Martin SteineggerSchool of Biological Sciences, Seoul National University, Seoul, Republic of Korea.
Duolin WangDepartment of Electrical Engineer and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, USA.
Kui WangSchool of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin, P.R. China.ORCID 0009-0006-7153-305X
Dong XuDepartment of Electrical Engineer and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, USA.ORCID 0000-0002-4809-0514
Jian ZhangSchool of Computer and Information Technology, Xinyang Normal University, Xinyang, P.R. China.
Lukasz KurganDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-7749-0314
Nankai University · CNSeoul National University · KRUniversity of British Columbia · CAUniversity of Missouri · USVirginia Commonwealth University · USIndiana University – Purdue University Indianapolis · USMagyar Agrár- és Élettudományi Egyetem · HUMax Planck Institute for Multidisciplinary SciencesNationwide Children's Hospital · USUniversity of South Florida · USXinyang Normal University · CN

Funding

Multi-view self-supervised deep learning for biological sequences and beyondR35GM126985 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI DONG XU · 2018 to 2026
$3.8M
Novel Use of Genome Information to Understand MutationsR01HG012117 · NHGRI · IOWA STATE UNIVERSITY · PI JERNIGAN, ROBERT L, KLOCZKOWSKI, ANDRZEJ · 2021 to 2025
$2.3M
NHGRI NIH HHS R01 HG012117NIGMS NIH HHS R35 GM126985NIH HHS R35-GM126985
6 · The paper itself

Abstract

The DescribePROT database of amino acid-level descriptors of protein structures and functions was substantially expanded since its release in 2020. This expansion includes substantial increase in the size, scope, and quality of the underlying data, the addition of experimental structural information, the inclusion of new data download options, and an upgraded graphical interface. DescribePROT currently covers 19 structural and functional descriptors for proteins in 273 reference proteomes generated by 11 accurate and complementary predictive tools. Users can search our resource in multiple ways, interact with the data using the graphical interface, and download data at various scales including individual proteins, entire proteomes, and whole database. The annotations in DescribePROT are useful for a broad spectrum of studies that include investigations of protein structure and function, development and validation of predictive tools, and to support efforts in understanding molecular underpinnings of diseases and development of therapeutics. DescribePROT can be freely accessed at http://biomine.cs.vcu.edu/servers/DESCRIBEPROT/.

Indexed as

Amino AcidsProteomeDatabases, FactualAmino AcidsProteome

Identifiers

PMID37933852
PMCPMC10767971
OpenAlexW4388454562

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.