NIH awards VeraChem Phase II SBIR funding for VM2 parallelization
Phase I milestones successfully completed, NIH awards VeraChem Phase II funding for the SBIR titled, “Multilevel Parallelization of Software for Accurate Protein-Ligand Affinities.”
Phase I milestones successfully completed, NIH awards VeraChem Phase II funding for the SBIR titled, “Multilevel Parallelization of Software for Accurate Protein-Ligand Affinities.”
Paper describing VeraChem’s protein-ligand binding affinity method VM2 published. “Modeling Protein-Ligand Binding by Mining Minima”, Journal of Chemical Theory and Computation 6(11): 3540-3557. DOI: 10.1021/ct100245n
VeraChem licenses its novel protein-ligand binding affinity software to a major pharmaceutical company.
The recently available web based protein-ligand homology modeling application SitesModel developed at the University of Leeds uses VeraChem’s VCharge to generate ligand partial atomic charges and VConf to generate ligand 3D conformations.
VeraChem awarded fast-track SBIR to enhance the performance of its novel binding affinity software through parallelization. “Multilevel Parallelization of Software for Accurate Protein-Ligand Affinities”
VeraChem establishes contract research agreement with a major pharmaceutical company to apply VeraChem’s unique computational chemistry software.
VeraChem and a major home products company establish contract research agreement involving application of VeraChem’s software.
VeraChem and local biotech company engage in contract research agreement.
The PreADMET 2.0 commercial software package for absorption – distribution – metabolism – excretion – toxicity (ADMET) prediction now provides an interface to VeraChem’s 3D ligand conformational search package VConf.
VeraChem’s state of the art computational chemistry software is capable of protein-ligand and host-guest binding affinity prediction, fast calculation of accurate partial atomic charges for drug-like compounds, computation of energies and forces with empirical force fields, automatic generation of alternate resonance forms of drug-like compounds, conformational search with the powerful Tork distort-minimize algorithm, and automatic detection of topological and 3D molecular symmetries.
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