Difference between revisions of "2024 DOCK GA tutorial 1 with 1NDV"
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A genetic algorithm is a form of de novo design. This form of de novo grows new molecules through a process of evolutionary growth that includes crossover of parent molecules, mutations, and a "natural selection" process. Crossover occurs when two parent molecules have rotatable bonds in the same area of the binding site. This will exchange the fragments between the parents, and creature two new offspring. There are 4 different mutations that can occur during genetic growth. There can be deletion of an existing fragment, addition of a new fragment, substitution of a terminal fragment, and replacement of a linker fragment. After crossover and mutation occurs the new molecules are scored and a select amount are carried over into the next stage of growth. In this tutorial will be using the Elitism elimination method, so only the top scoring molecules will move on to the next generation. | A genetic algorithm is a form of de novo design. This form of de novo grows new molecules through a process of evolutionary growth that includes crossover of parent molecules, mutations, and a "natural selection" process. Crossover occurs when two parent molecules have rotatable bonds in the same area of the binding site. This will exchange the fragments between the parents, and creature two new offspring. There are 4 different mutations that can occur during genetic growth. There can be deletion of an existing fragment, addition of a new fragment, substitution of a terminal fragment, and replacement of a linker fragment. After crossover and mutation occurs the new molecules are scored and a select amount are carried over into the next stage of growth. In this tutorial will be using the Elitism elimination method, so only the top scoring molecules will move on to the next generation. | ||
| − | [[File:1ndv_original.png|center|thumb| | + | [[File:1ndv_original.png|center|thumb|750px|PDB 1NDV]] |
=='''II. Fragment Library Generation for 1NDV'''== | =='''II. Fragment Library Generation for 1NDV'''== | ||
Revision as of 23:20, 26 April 2024
Contents
I. Introduction
A genetic algorithm is a form of de novo design. This form of de novo grows new molecules through a process of evolutionary growth that includes crossover of parent molecules, mutations, and a "natural selection" process. Crossover occurs when two parent molecules have rotatable bonds in the same area of the binding site. This will exchange the fragments between the parents, and creature two new offspring. There are 4 different mutations that can occur during genetic growth. There can be deletion of an existing fragment, addition of a new fragment, substitution of a terminal fragment, and replacement of a linker fragment. After crossover and mutation occurs the new molecules are scored and a select amount are carried over into the next stage of growth. In this tutorial will be using the Elitism elimination method, so only the top scoring molecules will move on to the next generation.
