Evidence map›Paper›PMID 40531589›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2025

Introducing the PARCH Scale for Quantifying the Hydropathy of Nucleic Acids and Nucleic Acid-Protein Complexes.

Ratnakshi Mandal, Jingjing Ji, Claire Nicole Sheridan, Anna M Baur, Andre Christophe Noel, Shikha Nangia

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. RBM45 Preferential Binding to mThe journal of physical chemistry. B · 2026
    Article
  3. Article
  4. 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

6 authors.

Ratnakshi MandalDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.
Jingjing JiDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.
Claire Nicole SheridanDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.
Anna M BaurDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.
Andre Christophe NoelDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.
Shikha NangiaDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York 13244, United States.ORCID 0000-0003-1170-8461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydropathy studies have been extensively conducted for proteins, offering valuable insights into their structure and functionality. However, there is far less understanding of the hydropathy associated with the tertiary and quaternary structures of nucleic acids─such as deoxyribonucleic acid (DNA) and ribonucleic acid (RNA)─and their interactions with proteins. In this work, we extend our recently developed Protocol for Assigning a Residue's Character on a Hydropathy (PARCH) scale to nucleic acids and nucleic acid-protein complexes. The PARCH scale quantifies the hydropathy of each nucleic acid residue based on its chemical identity and topographical features. The PARCH analysis for both DNA and RNA reveals that the backbone, consisting of phosphate and sugar atoms, is significantly more hydrophilic than the nucleotide bases; backbone PARCH values are an order of magnitude higher than those of the bases. In DNA, distortions from the organized double-helical structure, such as base flipping or altered base pairing, increase the hydropathy values. With its greater structural complexity, RNA exhibits a broader range of hydropathy values than DNA, reflecting its increased interaction with water. Thus, based on the PARCH values, RNA is more hydrophilic than DNA on average. PARCH analysis of DNA-protein and RNA-protein complexes reveals intricate binding patterns, including interactions between charged amino acid residues and the hydrophilic nucleic acid backbone, as well as hydrophobic patches on proteins engaging with the hydrophobic grooves of nucleic acid bases. These findings highlight the potential of PARCH analysis to provide valuable insights into the underlying principles of nucleic acid-protein interactions. The PARCH scale shows promise as a useful tool for advancing the development of functional RNA and DNA fragments for future therapeutic applications.

Indexed as

DNAProteinsRNAHydrophobic and Hydrophilic InteractionsNucleic Acid ConformationDNAProteinsRNA

Identifiers

PMID40531589
PMCPMC12257586

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.