Evidence map›Paper›PMID 35422969›Full record

ArticleComputational and structural biotechnology journal2022

HIT web server: A hybrid method to improve electrostatic calculations for biomolecules.

Shengjie Sun, Juan A Lopez, Yixin Xie, Wenhan Guo, Dongfang Liu, Lin Li

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. HIT-2: Implementing machine learning algorithms to treat bound ions in biomolecules.Computational and structural biotechnology journal · 2023
    Article
  5. Review
  6. 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.

Shengjie SunComputational Science Program, The University of Texas at El Paso, 500 W University Ave, TX 79968, USA.
Juan A LopezDepartment of Computer Science, The University of Texas at El Paso, 500 W University Ave, TX 79968, USA.
Yixin XieComputational Science Program, The University of Texas at El Paso, 500 W University Ave, TX 79968, USA.
Wenhan GuoComputational Science Program, The University of Texas at El Paso, 500 W University Ave, TX 79968, USA.
Dongfang LiuDepartment of Computer Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA.
Lin LiComputational Science Program, The University of Texas at El Paso, 500 W University Ave, TX 79968, USA.

Funding

UTEP Border Biomedical Research CenterU54MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI Gabriel Andrew Frietze · 2019 to 2026
$35.1M
Developing and applying large-scale simulation approach to understand the mechanisms of kinesins' motilities along microtubulesSC1GM132043 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI LI, LIN · 2019 to 2022
$1.5M
NIGMS NIH HHS SC1 GM132043NIMHD NIH HHS U54 MD007592
6 · The paper itself

Abstract

The electrostatic features of highly charged biomolecules are crucial and challenging tasks in computational biophysics. The electrostatic calculations by traditional implicit solvent methods are efficient but have difficulties on highly charged biomolecules. We have developed a Hybridizing Ion Treatment (HIT) tool, which successfully hybridizes the explicit ions and implicit solvation model to accurately calculate the electrostatic potential for highly charged biomolecules. Here we implemented the HIT tool into a web server. In this study, a training set was prepared to optimize the number of frames for the HIT web server. The results on tubulins, DNAs, and RNAs, reveal the mechanisms for the motor proteins, DNA of HIV, and tRNA. This HIT web server can be widely used to study highly charged biomolecules, including DNAs, RNAs, molecular motors, and other highly charged biomolecules.

Indexed as

DNAElectrostatic calculationExplicit solvent modelHITRNATubulin

Identifiers

PMID35422969
PMCPMC8991293

What OpenQuestion holds

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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.