Evidence map›Paper›PMID 26515825›Full record

ArticleBioinformatics (Oxford, England)2016

DelPhiPKa web server: predicting pKa of proteins, RNAs and DNAs.

Lin Wang, Min Zhang, Emil Alexov

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
  2. Review
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  11. Adsorption of Diclofenac and PFBS on a Hair Keratin Dimer.The journal of physical chemistry. B · 2024
    Article
  12. Comparative Performance of High-Throughput Methods for Protein pJournal of chemical information and modeling · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Extending the Stochastic Titration CpHMD to CHARMM36m.The journal of physical chemistry. B · 2022
    Article
  18. Article
  19. Article
  20. Article

4 more citing papers are in PubMed but not listed here.

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.

Lin WangComputational Biophysics and Bioinformatics, Department of Physics and Astronomy, Clemson University, Clemson, SC 29634, USA and.
Min ZhangDepartment of Computer Sciences, East Carolina University, Greenville, NC 27858, USA.
Emil AlexovComputational Biophysics and Bioinformatics, Department of Physics and Astronomy, Clemson University, Clemson, SC 29634, USA and.

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
NIGMS NIH HHS R01 GM093937
6 · The paper itself

Abstract

unlabelledA new pKa prediction web server is released, which implements DelPhi Gaussian dielectric function to calculate electrostatic potentials generated by charges of biomolecules. Topology parameters are extended to include atomic information of nucleotides of RNA and DNA, which extends the capability of pKa calculations beyond proteins. The web server allows the end-user to protonate the biomolecule at particular pH based on calculated pKa values and provides the downloadable file in PQR format. Several tests are performed to benchmark the accuracy and speed of the protocol. IMPLEMENTATION: The web server follows a client-server architecture built on PHP and HTML and utilizes DelPhiPKa program. The computation is performed on the Palmetto supercomputer cluster and results/download links are given back to the end-user via http protocol. The web server takes advantage of MPI parallel implementation in DelPhiPKa and can run a single job on up to 24 CPUs. AVAILABILITY AND IMPLEMENTATION: The DelPhiPKa web server is available at http://compbio.clemson.edu/pka_webserver.

Indexed as

SoftwareDNAInternetProteinsRNAStatic ElectricityDNAProteinsRNA

Identifiers

PMID26515825
PMCPMC5963359

What OpenQuestion holds

Textmetadata
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.