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Projects / Drug Design / gp130
CADD, General Overview

Computer Aided Drug Discovery & Structural Design

This section highlights the methodologies and techniques I have applied across diverse target systems, ranging from small-molecule inhibitors to modified peptides. The cornerstone of my methodology is the Iterative Feedback Loop: a rigorous process of aligning 3D structural modeling with empirical assay results to drive discovery.

Rational Scaffold Modification:

  • Utilizing structural data to guide the chemical synthesis of analogs with improved affinity

Virtual Screening & Combinatorial Chemistry:

  • Large-scale database mining (e.g., ZINC) followed by targeted combinatorial library design.

ADMET & Bioavailability Profiling:

  • Early-stage assessment of absorption, metabolism, and toxicity to ensure clinical viability.

Data Alignment:

  • Statistical correlation of computational docking scores and binding energies with in vitro and in vivo experimental data.
Role
  • Lead Computational Scientist
Tech Stack
  • Schrödinger Suite
  • Visualization (PyMOL, VMD)
  • Docking (Glide, AutoDock Vina)
  • Molecular Dynamics (CHARMm, NAMD)
  • Cheminformatics (RDKit, OpenEye)
  • Python scripting
Deliverable
  • Optimized Lead Series
  • Custom-tailored compound libraries
  • Proprietary specific molecular scaffolds
  • Structure-Activity Relationship (SAR) maps
  • Patent Support providing Novel Chemical Entities (NCEs)
  • Intellectual Properties (IPs) evaluations
Design R@D

Synchronizing biology, informatics, chemistry and computation.

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Connect

  • LinkedIn: linkedin.com/in/dvorsky
  • GitHub: github.com/d4sky
  • Email: dvorsky@gmail.com

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