Evidence map›Paper›PMID 42584949›Full record

ArticleCurrent protocols2026

Computational Approaches for Protein-DNA/RNA Complex Modeling for Cryo-EM Maps.

Anika Jain, Kefan Cao, Daisuke Kihara

Abstract read
In one paragraph

Article in Current protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Anika JainDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana.
Kefan CaoDepartment of Computer Science, Purdue University, West Lafayette, Indiana.
Daisuke KiharaDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana.ORCID https://orcid.org/0000-0003-4091-6614

Funding

Data-driven biomolecular structure modeling for cryo-EM mapsR35GM158267 · NIGMS · PURDUE UNIVERSITY · PI Daisuke Kihara · 2025 to 2026
$791k
Introducing a novel computational framework for B-cell epitope prediction based on immune-induced selection signaturesR21AI187928 · NIAID · PURDUE UNIVERSITY · PI HE, QIXIN · 2025 to 2025
$406k
National Science Foundation DBI2146026National Science Foundation DBI2422620National Science Foundation DMS2151678National Science Foundation IIS2211598NIAID NIH HHS R21 AI187928NIGMS NIH HHS R35 GM158267NIH HHS R21AI187928NIH HHS R35GM158267
6 · The paper itself

Abstract

Cryogenic electron microscopy (cryo-EM) has become a key method in structural biology for determining macromolecular structures. Numerous computational tools have been developed to build atomic models from cryo-EM density maps. However, relatively few tools are available for modeling protein-nucleic acid complexes. Here, we describe how to use two such methods developed by our group, ComplexModeler and CryoZeta, with a focus on modeling protein-nucleic acid complexes. Both tools are available through the EMSuite web server, a freely accessible platform that hosts multiple methods for cryo-EM structure modeling and validation. ComplexModeler integrates DiffModeler and CryoREAD to construct protein-DNA/RNA complex structures at resolutions of up to 5 Å. DiffModeler employs a diffusion model for backbone tracing, followed by fitting AlphaFold2-predicted protein structures into the traced backbone. CryoREAD identifies nucleotide components (phosphate, sugar, and base), constructs the backbone, assigns sequences, and builds full atomic models of DNA/RNA chains. CryoZeta uses a diffusion-based generative model that integrates sequence-based structure prediction with cryo-EM density features to generate accurate models of proteins, nucleic acids, and their complexes. This article describes how to use these two tools on the EMSuite web server through two modeling examples. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Protein-nucleic acid structure modeling using ComplexModeler on the EMSuite server Basic Protocol 2: Protein-nucleic acid structure modeling using CryoZeta on the EMSuite server.

Indexed as

Computational BiologyCryoelectron MicroscopyDNAProteinsRNAModels, MolecularNucleic Acid ConformationProtein ConformationSoftwareDNAProteinsRNAcryo‐EMdeep learningnucleic acidproteinstructure modeling

Identifiers

PMID42584949
PMCPMC13464825

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.