Evidence map›Paper›PMID 42502570›Full record

ArticleACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine2025

DeepSSETracer 2.0: Improved Deep Learning Model Performance for Protein Secondary Structure Segmentation from Cryo-EM Maps.

Bryan Hawickhorst, Thu Nguyen, Willy Wriggers, Jiangwen Sun, Jing He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2025. 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

5 authors.

Bryan HawickhorstDepartment of Computer Science, Old Dominion University, Norfolk, Virginia, USA.
Thu NguyenDepartment of Computer Science, Old Dominion University, Norfolk, Virginia, USA.
Willy WriggersDepartment of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, Virginia, USA.
Jiangwen SunDepartment of Computer Science, Old Dominion University, Norfolk, Virginia, USA.
Jing HeDepartment of Computer Science, Old Dominion University, Norfolk, Virginia, USA.

Funding

Multi-Resolution Docking Methods for Electron MicroscopyR01GM062968 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WRIGGERS, WILLY R · 2001 to 2023
$4.8M
Multi-Resolution Docking Methods for Electron MicroscopyR35GM153431 · NIGMS · OLD DOMINION UNIVERSITY · PI WILLY R WRIGGERS · 2024 to 2026
$1.2M
NIGMS NIH HHS R01 GM062968NIGMS NIH HHS R35 GM153431
6 · The paper itself

Abstract

DeepSSETracer is a method for segmenting protein secondary structure from medium-resolution (5-10Å) cryogenic electron microscopy (cryo-EM) density maps. We conducted experiments and ablation studies to examine the effects of normalization methods, max-pooling, activation functions, and loss calculation region on DeepSSETracer. By combining multiple technical improvements, the performance of the new version, DeepSSETracer 2.0, was significantly enhanced compared to DeepSSETracer 1.1. On a set of 77 test cases, the weighted average per-voxel F

Indexed as

Cryo-EMDeep learningProteinSecondary structure

Identifiers

PMID42502570
PMCPMC13401435

What OpenQuestion holds

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LicenceCC BY
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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.