Evidence map›Paper›PMID 41918630›Full record

ArticleFrontiers in genetics2026

BioMutation: a portable graphical user interface for mutagenesis and feature analysis in proteins, nucleic acids, and their complexes.

Tushar Gupta, Pradeep Pant

Abstract read
In one paragraph

Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Tushar GuptaDepartment of Biotechnology, Bennett University, Greater Noida, India.
Pradeep PantDepartment of Biotechnology, Bennett University, Greater Noida, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein and nucleic acid mutational studies are central to understanding biomolecular structure, function, and interactions, yet existing computational tools often lack user-friendly interfaces for high-throughput and systematic mutagenesis. To address this limitation, we present BioMutation, a graphical user interface (GUI) that enables automated, batch-wise introduction of substitution-based mutations in proteins, nucleic acids, and their complexes facilitated via UCSF ChimeraX functionalities. BioMutation supports user-defined and class-wise amino acid substitutions in proteins, as well as user-specified and combinatorial substitutions in DNA and RNA. The tool automatically generates libraries of mutated structures in standard formats (PDB, MOL2, and mmCIF) suitable for downstream computational studies, including molecular docking and molecular dynamics simulations. In addition, BioMutation includes a Google Colab-based Structure Analyzer module for comparative assessment of physicochemical features before and after mutation. By integrating automation, flexibility, and accessibility within a single platform, BioMutation facilitates efficient

Indexed as

computational modelingGUI (graphical user interface)mutagenesisnucleic acid mutationprotein mutation

Identifiers

PMID41918630
PMCPMC13035416

What OpenQuestion holds

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Registered trials

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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.