Services - SilcsBio | Computer-Aided Drug Design

WE DELIVER EXPERTISE IN COMPUTER-AIDED DRUG DESIGN

Guess work in drug discovery can be costly and time consuming. Our team is here to remove that for you. With us, your team gets:

Significantly enhanced visualization of novel binding sites of a protein being targeted for development of a new drug.
Unprecedented levels of detail using the SilcsBio computational physics-based algorithms for mapping proteins.
Superiorly designed small molecules optimized for affinity, specificity, and drug-like properties.
Maximized atomic interactions between ligand and target, using the SilcsBio drug design platform to reveal where changes can be made to boost drug-like properties without sacrificing affinity or specificity.
Facilitated formulation of biologics through comprehensive excipient and protein-protein interaction mapping.

EXPERT SERVICES

The SilcsBio team provides expert services to make your structure-based drug design program more efficient, with increased speed and reduced costs.

We will put our software to work for you – taking the opportunity to interact closely with you and your team – to execute on and deliver results for your drug discovery projects.

Ultimately, it’s our priority to ensure we have a constant, open dialogue with our customers to understand and act on their specific research needs and objectives.

For small and mid-size pharmaceutical and life science research institutions, our team provides direct specialized expertise and advanced computational resources for:

Target Mapping

Hit Identification and Expansion

Lead Compound
Optimization

Allosteric Binding Site
Identification & Targeting

Force Field Development

In Silico Biologics
Formulation

Binding Hotspot
Identification

Single-Step FEP

Protein-Protein
Interaction Targeting

GPCR Targeting

Molecular Dynamics
Simulations

Homology Modeling

THE SILCS APPROACH

Patented SILCS technology works in tandem with SILCS-Biologics, CGenFF and SSFEP for end-to-end drug design workflow or any point in the drug design process – from hit identification to lead optimization.