Evidence map›Paper›PMID 41527260›Full record

ArticleBiotechnology and applied biochemistry2026

Protein Secondary Structure Prediction Using Soft Computing Techniques.

Sajani K, Pragyendu Yaduvanshi, Sarfaraz Masood, Prithvi Singh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biotechnology and applied biochemistry, 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
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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

4 authors.

Sajani KDepartment of Applied Psychology, Sri Aurobindo College (Evening), University of Delhi, New Delhi, India.
Pragyendu YaduvanshiDepartment of Applied Psychology, Sri Aurobindo College (Evening), University of Delhi, New Delhi, India.
Sarfaraz MasoodDepartment of Computer Engineering, Jamia Millia Islamia, New Delhi, India.
Prithvi SinghCentre For Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prediction of protein secondary structure is a critical step toward understanding protein function and facilitating structure‑based drug discovery. We present a template‑independent, single sequence method utilizing a shallow feed‑forward artificial neural network (ANN) with one hot (binary) amino acid encoding and a sliding window input. The network is trained and evaluated on two datasets: (i) a curated, nonhomologous Protein Data Bank (PDB) set with a strict

Indexed as

Neural Networks, ComputerProteinsDatabases, ProteinHumansPrediction AlgorithmsProtein Structure, SecondarySoft ComputingProteinsartificial neural networkprotein secondary structure predictionSTRIDE

Identifiers

PMID41527260
PMCPMC13446440

What OpenQuestion holds

Textmetadata
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.