Evidence map›Paper›PMID 40728624›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Illustrative Features and Utilities of MPAD: Thermodynamic Database for Membrane Protein-Protein Complexes.

Fathima Ridha, M Michael Gromiha

Abstract read
PubMed Publisher
In one paragraph

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

2 authors.

Fathima RidhaDepartment of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India.
M Michael GromihaDepartment of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India. gromiha@iitm.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functions and recognition mechanisms of membrane protein (MP) complexes are dictated by their binding affinities. Mutations in these complexes not only affect the binding affinity but also impair critical functions, potentially leading to diseases. However, due to their intricate structures, the binding affinity of MPs remains less explored compared to globular proteins. We describe Membrane Protein complex binding Affinity Database (MPAD, available at https://web.iitm.ac.in/bioinfo2/mpad/) , which is the first database dedicated to the binding affinity of MP complexes and their mutants along with sequence, structure, functional information, membrane-specific features, experimental conditions, and literature information. The current version of MPAD contains ~5400 experimental binding affinity data from 950 proteins. MPAD has an easy-to-use interface and options to build search queries, display, sort, download, and upload the data are among the other features available to users. We illustrate detailed protocols for data retrieval using different user-friendly search, display, and sorting options. Further, we also provide details on the contents of MPAD, data upload and download, cross-linking with other databases, and visualization options. Finally, we discuss potential applications of MPAD in membrane protein research.

Indexed as

Computational BiologyDatabases, ProteinMembrane ProteinsHumansProtein BindingSoftwareThermodynamicsUser-Computer InterfaceMembrane ProteinsBinding affinityDatabaseFunctionMembrane proteinsMutationsProtein-Protein interactionSequenceStructure

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.