In silico drug design by integrated technology
Galux drug design technology is based on fundamental physical principles, so it covers all areas of protein drug, peptide drug, and small-molecule drug design.



Protein drug design
Protein–protein interactions (PPIs) are increasingly being targeted by pharmaceutical companies. Galux has a specialized software to predict protein-protein interaction , which can be used to design new protein drugs efficiently. Galux's protein-protein interaction prediction method showed outstanding performance in CAPRI international competitions.
Peptide drug design
Protein-peptide interaction prediction method in Galux enables accurate prediction of protein-peptide complex structure and binding affinity. Peptide and peptidomimetic drugs can be rationally designed using our software. Galux's protein-peptide interaction prediction method showed outstanding performance in CAPRI international competitions.
Small-molecule drug design
Galux small-molecule drug design software is built on prediction of atomistic interactions of protein and small molecules by physics-inspired deep learning methods. Galux protein-ligand interaction showed outstanding performances in international competitions such as GPCRDock and CSAR.
Galux Drug Design Software

Protein structure prediction
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GaluxFold, GaluxTBM, GaluxDBM: Protein monomer structure prediction
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GaluxRefine: High resolution structure refinement
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GalaxyLoop: Protein loop modeling
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GalaxyDomDock: Domain orientation prediction
Protein-protein interaction prediction
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GalaxyHomomer, GalaxyHetermoer, GalaxyTongDock: Oligomer complex structure prediciton
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GalaxyRefineComplex: Oligomer structure refinement
Protein-peptide interaction prediction
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GalaxyPepDock: Protein-peptide complex structure prediction
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GaluxPepMimic: Peptidomimetic compound design

Protein-small molecule interaction prediction
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GalaxyDock: protein-small molecule complex structure prediction
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GaluxVS: High-throughput virtual screening
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GalaxySagittarius: Drug repositioning.
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Galaxy7TM: Ligand docking to G protein-coupled receptors
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GalaxyWater: Water interaction prediction
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GalaxySite: Protein binding site prediction


Papers related to Galux technology
Protein structure prediction
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G. R. Lee, J. Won, L. Heo, and C. Seok, GalaxyRefine2: Simultaneous refinement of inaccurate local regions and overall protein structure, Nucleic Acids Res. (2019).
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G. R. Lee, L. Heo, and C. Seok, Effective protein model structure refinement by loop modeling and overall relaxation, Proteins: Structure, Function, and Bioinformatics (2016).
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H. Park, G. R. Lee, L. Heo, and C. Seok, Protein loop modeling using a new hybrid energy function and its application to modeling in inaccurate structural environments, PLoS ONE (2014).
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J. Ko, H. Park, and C. Seok, GalaxyTBM: template-based modeling by building a reliable core and refining unreliable local regions, BMC Bioinformatics (2012).
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J. Ko, H. Park, L. Heo, and C. Seok, GalaxyWEB server for protein structure prediction and refinement, Nucleic Acids Res. (2012).
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H. Park and C. Seok, Refinement of unreliable local regions in template-based protein models, Proteins: Structure, Function, and Bioinformatics (2012).
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L. Heo, H. Park, and C. Seok, GalaxyRefine: Protein structure refinement driven by side-chain repacking, Nucleic Acids Res. (2013).
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J. Ko, D. Lee, H. Park, E. A. Coutsias, J. Lee, and C. Seok, The FALC-Loop web server for protein loop modeling, Nucleic Acids Res. (2011).
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J. Lee, D. Lee, H. Park, E. A. Coutsias, and C. Seok, Protein loop modeling by using fragment assembly and analytical loop closure, Proteins: Structure, Function, and Bioinformatics (2010).