[English] 日本語
Yorodumi Papers
- Database of articles cited by EMDB/PDB/SASBDB data -

+
Search query

Keywords
Structure methods
Author
Journal
IF

-
Structure paper

TitleTargeting protein-ligand neosurfaces with a generalizable deep learning tool.
Journal, issue, pagesNature, Vol. 639, Issue 8054, Page 522-531, Year 2025
Publish dateJan 15, 2025
AuthorsAnthony Marchand / Stephen Buckley / Arne Schneuing / Martin Pacesa / Maddalena Elia / Pablo Gainza / Evgenia Elizarova / Rebecca M Neeser / Pao-Wan Lee / Luc Reymond / Yangyang Miao / Leo Scheller / Sandrine Georgeon / Joseph Schmidt / Philippe Schwaller / Sebastian J Maerkl / Michael Bronstein / Bruno E Correia /
PubMed AbstractMolecular recognition events between proteins drive biological processes in living systems. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are ...Molecular recognition events between proteins drive biological processes in living systems. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules. Despite recent advances, computational tools for the design of new chemically induced protein interactions have remained a challenging task for the field. Here we present a computational strategy for the design of proteins that target neosurfaces, that is, surfaces arising from protein-ligand complexes. To develop this strategy, we leveraged a geometric deep learning approach based on learned molecular surface representations and experimentally validated binders against three drug-bound protein complexes: Bcl2-venetoclax, DB3-progesterone and PDF1-actinonin. All binders demonstrated high affinities and accurate specificities, as assessed by mutational and structural characterization. Remarkably, surface fingerprints previously trained only on proteins could be applied to neosurfaces induced by interactions with small molecules, providing a powerful demonstration of generalizability that is uncommon in other deep learning approaches. We anticipate that such designed chemically induced protein interactions will have the potential to expand the sensing repertoire and the assembly of new synthetic pathways in engineered cells for innovative drug-controlled cell-based therapies.
External linksNature / PubMed:39814890 / PubMed Central
MethodsEM (single particle) / X-ray diffraction
Resolution1.88 - 3.3 Å
Structure data

50522

9fkd

EMDB-50522, PDB-9fkd:
Progesterone-bound DB3 Fab in complex with computationally designed DBPro1156_2 protein binder
Method: EM (single particle) / Resolution: 3.3 Å

PDB-8s1x:
Crystal structure of Actinonin-bound PDF1 and the computationally designed DBAct553_1 protein binder
Method: X-RAY DIFFRACTION / Resolution: 1.88 Å

Chemicals

ChemComp-ZN:
Unknown entry

ChemComp-BB2:
ACTINONIN / antitumor, antibiotic*YM

ChemComp-FMT:
FORMIC ACID

ChemComp-PO4:
PHOSPHATE ION

ChemComp-K:
Unknown entry

ChemComp-HOH:
WATER

ChemComp-STR:
PROGESTERONE / hormone*YM

Source
  • synthetic construct (others)
  • pseudomonas aeruginosa (bacteria)
KeywordsDE NOVO PROTEIN / Actinonin / de novo / computational / binder / CID / switch / deformylase / progesterone / Fab / anti-kappa

+
About Yorodumi Papers

-
News

-
Feb 9, 2022. New format data for meta-information of EMDB entries

New format data for meta-information of EMDB entries

  • Version 3 of the EMDB header file is now the official format.
  • The previous official version 1.9 will be removed from the archive.

Related info.:EMDB header

External links:wwPDB to switch to version 3 of the EMDB data model

-
Aug 12, 2020. Covid-19 info

Covid-19 info

URL: https://pdbj.org/emnavi/covid19.php

New page: Covid-19 featured information page in EM Navigator.

Related info.:Covid-19 info / Mar 5, 2020. Novel coronavirus structure data

+
Mar 5, 2020. Novel coronavirus structure data

Novel coronavirus structure data

Related info.:Yorodumi Speices / Aug 12, 2020. Covid-19 info

External links:COVID-19 featured content - PDBj / Molecule of the Month (242)：Coronavirus Proteases

+
Jan 31, 2019. EMDB accession codes are about to change! (news from PDBe EMDB page)

EMDB accession codes are about to change! (news from PDBe EMDB page)

  • The allocation of 4 digits for EMDB accession codes will soon come to an end. Whilst these codes will remain in use, new EMDB accession codes will include an additional digit and will expand incrementally as the available range of codes is exhausted. The current 4-digit format prefixed with “EMD-” (i.e. EMD-XXXX) will advance to a 5-digit format (i.e. EMD-XXXXX), and so on. It is currently estimated that the 4-digit codes will be depleted around Spring 2019, at which point the 5-digit format will come into force.
  • The EM Navigator/Yorodumi systems omit the EMD- prefix.

Related info.:Q: What is EMD? / ID/Accession-code notation in Yorodumi/EM Navigator

External links:EMDB Accession Codes are Changing Soon! / Contact to PDBj

+
Jul 12, 2017. Major update of PDB

Major update of PDB

  • wwPDB released updated PDB data conforming to the new PDBx/mmCIF dictionary.
  • This is a major update changing the version number from 4 to 5, and with Remediation, in which all the entries are updated.
  • In this update, many items about electron microscopy experimental information are reorganized (e.g. em_software).
  • Now, EM Navigator and Yorodumi are based on the updated data.

External links:wwPDB Remediation / Enriched Model Files Conforming to OneDep Data Standards Now Available in the PDB FTP Archive

-
Yorodumi Papers

Database of articles cited by EMDB/PDB/SASBDB data

  • Database of articles cited by EMDB, PDB, and SASBDB entries
  • Using PubMed data

Related info.:EMDB / PDB / SASBDB / Yorodumi / EMN Papers / Changes in new EM Navigator and Yorodumi

Read more