Evidence map›Paper›PMID 42788898›Full record

ArticleCurrent protocols2026

PDBe PISA: Enhanced Analysis of Macromolecular Interactions.

Grisell Díaz Leines, Paulyna Magaña, Sreenath Nair, Jennifer Fleming, Mihaly Varadi, Eugene Krissinel, Sameer Velankar

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

7 authors.

Grisell Díaz LeinesProtein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Paulyna MagañaProtein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Sreenath NairProtein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Jennifer FlemingProtein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Mihaly VaradiProtein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.
Eugene KrissinelScientific Computing Department, Science and Technology Facilities Council, Research Complex at Harwell, Didcot, Oxfordshire, United Kingdom.
Sameer VelankarProtein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.

Funding

BBSRC-NSF/BIO BB/S017135/1European Molecular Biology LaboratoryEuropean Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant 945405Google DeepMind
6 · The paper itself

Abstract

Protein interactions play a pivotal role in determining the biological functions of living cells. Gaining structural insights into protein interfaces can illuminate their role in function and diseases and highlight their potential as therapeutic targets. In response, there has been a marked increase in efforts by the scientific community to decipher the nuances of macromolecular interfaces, aiming to predict interactions and binding specificity of different components within complexes. The "Proteins, Interfaces, Structures, and Assemblies" (PISA) software has become a standard tool for analyzing intermolecular interactions and elucidating macromolecular assemblies from molecular structures. This article presents detailed protocols for using Protein Data Bank in Europe (PDBe) PISA API, a new Application Programming Interface (API) for enhanced analysis of protein assembly interfaces, using an updated version of PISA software. Compared to its predecessor, the updated PISA software expands interface data, increasing the coverage and detail of interaction information for assemblies and introduces greater computational flexibility, allowing users to perform targeted interface analyses for selected assemblies efficiently. The PDBe team uses the PISA API to provide interaction data in a JavaScript Object Notation (JSON) format for weekly Protein Data Bank (PDB) releases to support the efforts of the broader scientific community. Our protocols are a comprehensive guide to harnessing macromolecular interaction data using PISA. We delve into practical examples, from querying interaction and interface data from JSON files to extracting interaction data for assemblies cataloged in the PDB archive using programmatic access and bulk download via File Transfer Protocol (FTP). © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Programmatic access to interaction data with PDBe PISA API Basic Protocol 2: FTP access to interaction data of assemblies Basic Protocol 3: Analysis of assembly interfaces and interactions.

Indexed as

Computational BiologyDatabases, ProteinMacromolecular SubstancesProtein Interaction MappingProteinsSoftwareProtein BindingUser-Computer InterfaceMacromolecular SubstancesProteinsmacromolecular interactionsPDBe APIPISAprotein assembliesProtein Data Bank (PDB)protein interfacesstructural bioinformatics

Identifiers

PMID42788898
PMCPMC13614290

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.