9HT2 | pdb_00009ht2

A novel bottom-up approach to find lead-compounds in billion-sized libraries


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.42 Å
  • R-Value Free: 
    0.186 (Depositor), 0.194 (DCC) 
  • R-Value Work: 
    0.172 (Depositor), 0.177 (DCC) 
  • R-Value Observed: 
    0.172 (Depositor) 

Starting Model: experimental
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Ligand Structure Quality Assessment 


This is version 1.0 of the entry. See complete history


Literature

A bottom-up approach to find lead compounds in expansive chemical spaces.

Serrano-Morras, A.Bertran-Mostazo, A.Minarro-Lleonar, M.Comajuncosa-Creus, A.Cabello, A.Labranya, C.Escudero, C.Tian, T.V.Khutorianska, I.Radchenko, D.S.Moroz, Y.S.Defelipe, L.Ruiz-Carrillo, D.Garcia-Alai, M.Schmidt, R.Rarey, M.Aloy, P.Galdeano, C.Juarez-Jimenez, J.Barril, X.

(2025) Commun Chem 8: 225-225

  • DOI: https://doi.org/10.1038/s42004-025-01610-2
  • Primary Citation of Related Structures:  
    9HT0, 9HT1, 9HT2

  • PubMed Abstract: 

    Drug discovery starts with the identification of a "hit" compound that, following a long and expensive optimization process, evolves into a drug candidate. Bigger screening collections increase the odds of finding more and better hits. For this reason, large pharmaceutical companies have invested heavily in high-throughput screening (HTS) collections that can contain several million compounds. However, this figure pales in comparison with the emergent on-demand chemical collections, which have recently reached the trillion scale. These chemical collections are potentially transformative for drug discovery, as they could deliver many diverse and high-quality hits, even reaching lead-like starting points. But first, it will be necessary to develop computational tools capable of efficiently navigating such massive virtual collections. To address this challenge, we have conceived an innovative strategy that explores the chemical universe from the bottom up, performing a systematic search on the fragment space (exploration phase), to then mine the most promising areas of on-demand collections (exploitation phase). Using a hierarchy of increasingly sophisticated computational methods to remove false positives, we maximize the success probability and minimize the overall computational cost. A basic implementation of the concept has enabled us to validate the strategy prospectively, allowing the identification of new BRD4 (BD1) binders with potencies comparable to stablished drug candidates.


  • Organizational Affiliation
    • Unitat de Fisicoquímica, Departament de Farmàcia i Tecnologia Farmacéutica, i Fisicoquímica. Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona (UB), Av. Joan XXIII, 27-31, 08028, Barcelona, Spain.

Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Bromodomain-containing protein 4127Homo sapiensMutation(s): 0 
Gene Names: BRD4HUNK1
UniProt & NIH Common Fund Data Resources
Find proteins for O60885 (Homo sapiens)
Explore O60885 
Go to UniProtKB:  O60885
PHAROS:  O60885
GTEx:  ENSG00000141867 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupO60885
Sequence Annotations
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  • Reference Sequence
Small Molecules
Ligands 2 Unique
IDChains Name / Formula / InChI Key2D Diagram3D Interactions
A1IXF (Subject of Investigation/LOI)
Query on A1IXF

Download Ideal Coordinates CCD File 
B [auth A]methyl 2,2,6,6-tetramethyl-4-[[2-[(5-methyl-1,3,4-thiadiazol-2-yl)amino]-2-oxidanylidene-ethyl]amino]oxane-4-carboxylate
C16 H26 N4 O4 S
CPUHENVWIHLLEI-UHFFFAOYSA-N
P4G
Query on P4G

Download Ideal Coordinates CCD File 
C [auth A]1-ETHOXY-2-(2-ETHOXYETHOXY)ETHANE
C8 H18 O3
RRQYJINTUHWNHW-UHFFFAOYSA-N
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.42 Å
  • R-Value Free:  0.186 (Depositor), 0.194 (DCC) 
  • R-Value Work:  0.172 (Depositor), 0.177 (DCC) 
  • R-Value Observed: 0.172 (Depositor) 
Space Group: P 1 21 1
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 30.353α = 90
b = 39.553β = 105.492
c = 55.861γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
PDB-REDOrefinement
MxCuBEdata collection
autoPROCdata reduction
autoPROCdata scaling
PHASERphasing

Structure Validation

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Ligand Structure Quality Assessment 


Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Ministerio de Ciencia e Innovacion (MCIN)SpainCEX2021-001202-M

Revision History  (Full details and data files)

  • Version 1.0: 2025-08-13
    Type: Initial release