Evidence map›Paper›PMID 37520074›Full record

ArticleJournal of computational biophysics and chemistry2023

PKAD-2: New entries and expansion of functionalities of the database of experimentally measured pKa's of proteins.

Nicolas Ancona, Ananta Bastola, Emil Alexov

Open access · greenAbstract read
In one paragraph

Article in Journal of computational biophysics and chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Protein Electrostatic Properties are Finetuned Through Evolution.bioRxiv : the preprint server for biology · 2026
    Article
  3. Graph-Based Deep Learning Models for Predicting pJournal of chemical information and modeling · 2026
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. KaMLs for Predicting Protein pJournal of chemical theory and computation · 2025
    Article
  10. Improved Structure-Based Histidine pJournal of chemical information and modeling · 2025
    Article
  11. KaMLs for Predicting Protein pbioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. 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

3 authors at 1 institution in 1 country.

Nicolas AnconaDepartment of Biological Sciences, College of Science, Clemson University, 105 Sikes Hall, Address, Clemson, SC 29634, United States of America.
Ananta BastolaSchool of Computing, College of Engineering, Computing and Applied Sciences, Clemson University, 105 Sikes Hall, SC 29634, United States of America.
Emil AlexovDepartment of Physics, College of Science, Clemson University, 105 Sikes Hall, Address, Clemson, SC 29634, United States of America.
Clemson University · US

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
DelPhi and associated resources: maintenance, development and applicationsR35GM151964 · NIGMS · CLEMSON UNIVERSITY · PI Emil Georgiev Alexov · 2024 to 2026
$1.1M
NIGMS NIH HHS R01 GM093937NIGMS NIH HHS R35 GM151964
6 · The paper itself

Abstract

Almost all biological reactions are pH dependent and understanding the origin of pH dependence requires knowledge of the pKa's of ionizable groups. Here we report a new edition of PKAD, the PKAD-2, which is a database of experimentally measured pKa's of proteins, both wild type and mutant proteins. The new additions include 117 wild type and 54 mutant pKa values, resulting in total 1742 experimentally measured pKa's. The new edition of PKAD-2 includes 8 new wild type and 12 new mutant proteins, resulting in total of 220 proteins. This new edition incorporates a visual 3D image of the highlighted residue of interest within the corresponding protein or protein complex. Hydrogen bonds were identified, counted, and implemented as a search feature. Other new search features include the number of neighboring residues <4A from the heaviest atom of the side chain of a given amino acid. Here, we present PKAD-2 with the intention to continuously incorporate novel features and current data with the goal to be used as benchmark for computational methods.

Indexed as

computational biophysicselectrostaticshydrogen bondsPoisson-Boltzmann equationsurface area

Identifiers

PMID37520074
PMCPMC10373500
OpenAlexW4323543602

What Socratic holds

Textmetadata
LicenceTDM
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.