Difference between revisions of "2025 DOCK GA tutorial 2 with 1XMU"

From Rizzo_Lab
Jump to: navigation, search
(Created page with "== Introduction == == Setup == == Conclusion ==")
 
(Introduction)
Line 1: Line 1:
 
== Introduction ==
 
== Introduction ==
 +
Introduced in DOCK6.10 is the genetic algorithm, a form of de novo drug design that employs molecular evolution (mutations) and an iterative natural selection process. Several fragment-based (requiring a fragment library) mutations, including cross-over, addition, deletion, substitution, and replacement, are used on the provided “parent” molecule(s) to produce a new generation of “off-spring”. Subsequently, the natural selection process uses user-defined variables to exclude “off-spring” with poor scoring (and/or lesser fitness) from being included in the next generation of “parents”.
 +
 +
In this section of the DOCK6.12 tutorial, we will:
 +
* generate a fragment library
 +
* run a genetic algorithm
 +
 +
 +
=== Set Up ===
 +
Before we begin, we should create separate directories to guide and organize our workflow.
 +
 +
mkdir 00X_fragLib
 +
mkdir 00X_algorithm
  
 
== Setup ==
 
== Setup ==

Revision as of 15:40, 18 March 2025

Introduction

Introduced in DOCK6.10 is the genetic algorithm, a form of de novo drug design that employs molecular evolution (mutations) and an iterative natural selection process. Several fragment-based (requiring a fragment library) mutations, including cross-over, addition, deletion, substitution, and replacement, are used on the provided “parent” molecule(s) to produce a new generation of “off-spring”. Subsequently, the natural selection process uses user-defined variables to exclude “off-spring” with poor scoring (and/or lesser fitness) from being included in the next generation of “parents”.

In this section of the DOCK6.12 tutorial, we will:

  • generate a fragment library
  • run a genetic algorithm


Set Up

Before we begin, we should create separate directories to guide and organize our workflow.

mkdir 00X_fragLib 
mkdir 00X_algorithm

Setup

Conclusion