New SILCS-MC Study Demonstrates Improved Performance with Machine Learning Optimization

  New SILCS-MC Study Demonstrates Improved Performance with Machine Learning Optimization    May 16, 2019, Baltimore, MD – SilcsBio, a company that develops commercial software and related services for structure-based drug design, today announced that established Site-identification by ligand competitive saturation-Monte Carlo (SILCS-MC) approaches were applied to seven protein targets and 551 ligands, correctly predicting[…]

SilcsBio, LLC Announces Release of CGenFF 2.3.0

Baltimore, MD, 26 April, 2019 In ongoing efforts to improve the coverage of the CGenFF program, version 2.3.0 of the CGenFF program improves support for a variety of molecules via explicit parametrization of the molecules outlined below and features improvements for halogen-protein interactions. Molecules explicitly parametrized The functional groups in these molecules were previously accessible[…]

SilcsBio, LLC Announces Issuance of US Patent with Utility in Drug Design Software

FOR IMMEDIATE RELEASE: July 12, 2018 Ken Malone SilcsBio, LLC 410.929.2305 Ken.Malone@silcsbio.com SilcsBio, LLC Announces Issuance of US Patent with Utility in Drug Design Software July 12, 2018 Baltimore, Maryland: SilcsBio, LLC (SilcsBio) announced today the issuance of a US patent covering key elements of SilcsBio’s drug design software. The SilcsBio software is broadly used[…]

SILCS-MC ranks top 10 on Free Energy Set 1 in the D3R Grand Challenge 2 on FXR

Grand Challenge 2 from D3R provided a farnesoid X receptor (FXR) target dataset to participants, which was used to test the performance of various computational approaches. SilcsBio’s SILCS-MC approach ranked 4th in Stage 1 and 6th in Stage 2 on the Free Energy Set 1 of this challenge. We used our unique SILCS approach to[…]

SilcsBio, LLC Announces Release of CGenFF 2.0.0

Baltimore, MD, 15 November 2016 Version 2.0.0 is the second release of CGenFF program, extending support to a larger variety of drug-like molecules to be used routinely in Computer-Aided Drug Design projects. Specifically, it improves treatment of halogen bonds, by introducing lone-pairs onto the halogen atoms of aromatic systems. Additionally, support is now extended to[…]

New Peer Reviewed Article Demonstrates SilcsBio, LLC’s Performance

New Peer Reviewed Article Demonstrates SilcsBio, LLC’s Performance Baltimore, Maryland, 4 November 2016 Recently published research has found that SilcsBio’s product, single-step free energy perturbation (SSFEP), demonstrated equal or more accurate results than standard free energy perturbation (FEP) but a thousand times faster. Additionally, SilcsBio’s site-identification by ligand competitive saturation (SILCS) product yielded relative free[…]

SilcsBio, LLC Receives Phase II NIH SBIR Funding

  FOR IMMEDIATE RELEASE: July 7, 2016 Ken Malone SilcsBio, LLC 410.929.2305 Ken.Malone@silcsbio.com   SilcsBio, LLC Receives Phase II NIH SBIR Funding   Baltimore, Maryland: SilcsBio, LLC announced today a $1.3 million funding award from the National Institute of Health to develop new computer aided drug design (CADD) software. CADD software enables pharmaceutical companies to[…]