Alloscore statistics

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Citations per year

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Popular tool citations

chevron_left Protein-ligand docking Allosteric site prediction chevron_right
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Associated diseases

Associated diseases

Alloscore specifications


Unique identifier OMICS_11089
Name Alloscore
Interface Web user interface
Restrictions to use None
Input data For each job, the user can specify allosteric complexes of interest by uploading a protein in a PDB file and multiple ligands in a Mol2 file.
Input format PDB, MOL2
Output data Alloscore provides the predicted energy terms, binding affinity and interactive 3D representation of each allosteric ligand-protein complex.
Computer skills Basic
Version 1.02
Stability Stable
Maintained Yes



  • person_outline Jian Zhang <>

Publication for Alloscore

Alloscore in publication

PMCID: 5699844
PMID: 29125840
DOI: 10.1371/journal.pcbi.1005813

[…] of allosteric protein-ligand interactions using models developed by li et al.[] in that study the hydrophobicity, as determined by a hydrophobic matching algorithm, had the highest contribution to alloscore, which is their metric to predict allosteric interactions. the monod-wyman- changeux model also states that protein-protein or subunit interfaces are frequent allosteric binding sites [], […]

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Alloscore institution(s)
Department of Pathophysiology, Shanghai Jiao-Tong University School of Medicine, Shanghai, China; Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
Alloscore funding source(s)
This work was funded by National Natural Science Foundation of China (81322046, 81302698).

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