
State-of-the-art Molecular Docking Solution
State-of-the-art Molecular Docking Solution
State-of-the-art Molecular Docking Solution
BDocker
BDocker
BDocker
BDocker is an advanced molecular docking solution that predicts how candidatepotential drug molecules (ligands) bind to specific protein targets. By focusing on precise geometric similarity, BDocker dramatically speeds up early-stage drug discovery, enabling rapid screening of candidate molecules with remarkable accuracy.
BDocker is an advanced molecular docking solution that predicts how candidatepotential drug molecules (ligands) bind to specific protein targets. By focusing on precise geometric similarity, BDocker dramatically speeds up early-stage drug discovery, enabling rapid screening of candidate molecules with remarkable accuracy.
BDocker is an advanced molecular docking solution that predicts how candidatepotential drug molecules (ligands) bind to specific protein targets. By focusing on precise geometric similarity, BDocker dramatically speeds up early-stage drug discovery, enabling rapid screening of candidate molecules with remarkable accuracy.


BDocker revolutionizes early-stage drug discovery by providing a sophisticated molecular docking solution that predicts how potential drug molecules bind to their protein targets. Leveraging precise geometric similarity, BDocker enables rapid, accurate screening of candidate molecules, allowing researchers to quickly identify promising leads and streamline the path to breakthrough treatments.
BDocker revolutionizes early-stage drug discovery by providing a sophisticated molecular docking solution that predicts how potential drug molecules bind to their protein targets. Leveraging precise geometric similarity, BDocker enables rapid, accurate screening of candidate molecules, allowing researchers to quickly identify promising leads and streamline the path to breakthrough treatments.
BDocker revolutionizes early-stage drug discovery by providing a sophisticated molecular docking solution that predicts how potential drug molecules bind to their protein targets. Leveraging precise geometric similarity, BDocker enables rapid, accurate screening of candidate molecules, allowing researchers to quickly identify promising leads and streamline the path to breakthrough treatments.
Highlights
Experience unmatched docking performance with:
The World’s most efficient simulated annealing algorithms for molecular docking in computational drug design.
Validated performance and accuracy.
Highlights
Experience unmatched docking performance with:
The World’s most efficient simulated annealing algorithms for molecular docking in computational drug design.
Validated performance and accuracy.
Highlights
Experience unmatched docking performance with:
The World’s most efficient simulated annealing algorithms for molecular docking in computational drug design.
Validated performance and accuracy.
Technology
BEIT has a track record of building optimized simulated annealers - a quantum inspired technology - that outperforms well-known quantum and classical solvers in the marketplace, including DWAVE, QBOWL, CPLEX, and Gurobi.
Technology
BEIT has a track record of building optimized simulated annealers - a quantum inspired technology - that outperforms well-known quantum and classical solvers in the marketplace, including DWAVE, QBOWL, CPLEX, and Gurobi.
Technology
BEIT has a track record of building optimized simulated annealers - a quantum inspired technology - that outperforms well-known quantum and classical solvers in the marketplace, including DWAVE, QBOWL, CPLEX, and Gurobi.
BDocker streamlines large-scale docking problems by leveraging a parallelized approach that delivers exceptional speed and accuracy. This powerful capability accelerates the discovery of optimal ligand conformations, giving you a competitive advantage.
BDocker streamlines large-scale docking problems by leveraging a parallelized approach that delivers exceptional speed and accuracy. This powerful capability accelerates the discovery of optimal ligand conformations, giving you a competitive advantage.
BDocker streamlines large-scale docking problems by leveraging a parallelized approach that delivers exceptional speed and accuracy. This powerful capability accelerates the discovery of optimal ligand conformations, giving you a competitive advantage.
Accelerate Your Drug Discovery
Accelerate Your Drug Discovery
Accelerate Your Drug Discovery
Experience BDocker’s cutting-edge molecular docking technology that rapidly and accurately screens candidate drug molecules. Discover how our precise geometric matching can transform your early-stage research.
Experience BDocker’s cutting-edge molecular docking technology that rapidly and accurately screens candidate drug molecules. Discover how our precise geometric matching can transform your early-stage research.
Technical Details
Technical Details
Technical Details
In a BDocker molecular docking workflow, we require inputs that provide the starting structures of the receptor and ligand. Our docking algorithms process these structures to set up the simulation.
In a BDocker molecular docking workflow, we require inputs that provide the starting structures of the receptor and ligand. Our docking algorithms process these structures to set up the simulation.
In a BDocker molecular docking workflow, we require inputs that provide the starting structures of the receptor and ligand. Our docking algorithms process these structures to set up the simulation.
Two widely used file formats for these are MOL2 (Tripos Mol2) for ligand structures and PDB (Protein Data Bank format) for protein structures. BDocker follows those standards
Two widely used file formats for these are MOL2 (Tripos Mol2) for ligand structures and PDB (Protein Data Bank format) for protein structures. BDocker follows those standards
Two widely used file formats for these are MOL2 (Tripos Mol2) for ligand structures and PDB (Protein Data Bank format) for protein structures. BDocker follows those standards
The MOL2 format (Tripos Mol2) is a text-based chemical structure format that can describe a molecule's 3D structure, atom types, and connectivity in detail. It is commonly used to represent ligand molecules in docking studies because it encapsulates both structural and chemical information about the molecule.
The MOL2 format (Tripos Mol2) is a text-based chemical structure format that can describe a molecule's 3D structure, atom types, and connectivity in detail. It is commonly used to represent ligand molecules in docking studies because it encapsulates both structural and chemical information about the molecule.
The MOL2 format (Tripos Mol2) is a text-based chemical structure format that can describe a molecule's 3D structure, atom types, and connectivity in detail. It is commonly used to represent ligand molecules in docking studies because it encapsulates both structural and chemical information about the molecule.
The PDB format is the classic format for macromolecular structures, originating from the Protein Data Bank. It’s a human-readable text format (with fixed column widths) that lists the 3D coordinates of every atom in a protein or nucleic acid structure, along with some metadata.
The PDB format is the classic format for macromolecular structures, originating from the Protein Data Bank. It’s a human-readable text format (with fixed column widths) that lists the 3D coordinates of every atom in a protein or nucleic acid structure, along with some metadata.
The PDB format is the classic format for macromolecular structures, originating from the Protein Data Bank. It’s a human-readable text format (with fixed column widths) that lists the 3D coordinates of every atom in a protein or nucleic acid structure, along with some metadata.