covalent-design

Design covalent inhibitors targeting specified residues with warhead reactivity and docking tools.

6|2|Updated Jun 11, 2026
One-click install
npx skills add https://github.com/pradyumnasagar/open-research-skills --skill covalent-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: covalent-design
Source: https://github.com/pradyumnasagar/open-research-skills/tree/main/skills/chemoinformatics/covalent-design
Command: npx skills add https://github.com/pradyumnasagar/open-research-skills --skill covalent-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rdkit, openeye, autodock, gold, dockovalent, hcovdock, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps researchers design covalent inhibitors for targeted covalent inhibition, enabling the development of drugs with high selectivity and efficacy.

Core Features & Use Cases

  • Covalent Inhibitor Design: Targets cysteine, lysine, serine, threonine, tyrosine, and aspartate residues with specific warhead chemistry.
  • Warhead Reactivity and Reversibility: Handles various warhead chemistries and their reactivity, reversibility, and selectivity.
  • Intrinsic Reactivity Assays: Provides in silico testing for warhead reactivity against glutathione.
  • Covalent Docking Tools: Utilizes GOLD, DOCKovalent, HCovDock for covalent docking.
  • Use Case: Design a cysteine-selective covalent inhibitor for a specific protein target using the provided warhead chemistry and docking tools.

Quick Start

Use the covalent-design skill to design a covalent inhibitor for cysteine residues in a target protein using acrylamide warhead and dock it with DOCKovalent.

Frequently Asked Questions about covalent-design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design covalent inhibitors targeting specific amino acid residues?

Design covalent inhibitors by targeting cysteine, lysine, serine, threonine, tyrosine, and aspartate residues using specific warhead chemistry. This process enables high selectivity and efficacy for targeted covalent inhibition of your chosen protein.

What is the best way to test warhead reactivity and reversibility for targeted covalent inhibition?

Test warhead reactivity and reversibility using in silico intrinsic reactivity assays against glutathione. This evaluates the electrophilic warhead chemistry's selectivity and reactivity profile before proceeding to covalent docking simulations.

Can I use AutoDock Vina and GOLD for covalent docking of acrylamide warheads?

Yes, you can use AutoDock Vina and GOLD for covalent docking, alongside DOCKovalent and HCovDock. These tools simulate the binding of acrylamide warheads and other chemistries to targeted residues in your protein.

Do I need RDKit and OpenEye to perform covalent docking with HCovDock?

Yes, RDKit and OpenEye are required dependencies for handling chemoinformatics and molecular visualization. They prepare the ligand structures and protein targets before running covalent docking with HCovDock or DOCKovalent.

How does targeted covalent inhibition improve drug selectivity compared to non-covalent approaches?

Targeted covalent inhibition improves drug selectivity by forming a permanent bond with a specific residue like cysteine. This mechanism achieves high efficacy compared to reversible non-covalent binding approaches.

Which warhead chemistries are supported for cysteine-selective covalent inhibitor design?

Various warhead chemistries, including acrylamide, are supported for cysteine-selective covalent inhibitor design. The skill handles the reactivity, reversibility, and selectivity of these warheads during the in silico docking process.