Evidence map›Paper›PMID 42638004›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

An Integrated Computational Method for Investigation of Structural and Functional Impacts of Host-Pathogen Interaction.

Sarika Sahu, Mayank Rashmi, Soumya Sharma, Namrata Sachdeva, Sneha Murmu, Ritwika Das, Aalok Shiv, Sunil Kumar

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

8 authors.

Sarika SahuICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Mayank RashmiICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Soumya SharmaICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Namrata SachdevaICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Sneha MurmuICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Ritwika DasICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Aalok ShivICAR-Indian Sugarcane Research Institute, Lucknow, Uttar Pradesh, India.
Sunil KumarICAR-Indian Agricultural Statistics Research Institute, New Delhi, India. skybiotech@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanisms underlying disease requires detailed insight into host-pathogen interactions. This study presents an integrated computational framework that combines structural bioinformatics and systems biology to analyze the structural and functional consequences of host-pathogen protein interactions. By leveraging protein-protein interaction databases, homology modeling, molecular docking, and pathway enrichment analysis, the framework identifies critical molecular interfaces and disrupted biological processes. This integrated approach facilitates the identification of potential therapeutic targets by predicting novel interaction hotspots and their functional impacts. Ultimately, the platform enhances our ability to model infection dynamics and host responses at both molecular and systems levels, offering a scalable tool for investigating a wide range of pathogens.

Indexed as

Computational BiologyHost-Pathogen InteractionsProteinsDatabases, ProteinHumansMolecular Docking SimulationProtein Interaction MappingSoftwareSystems BiologyProteinsDockingHost–pathogen interactionsModeling

Identifiers

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.