Computational Drug Discovery and Design

(backadmin) #1
at the cost of accuracy. Here, we have discussed the challenges in de
novo drug discovery that leaves abundant space for innovation and
discovery in the future.

6 Notes



  1. Growing of fragments using GROW module is a time-
    consuming step, it employs genetic algorithm to evolve mole-
    cules. Increasing the number of generation will increase the
    computational time required; but at the same time, will gener-
    ate molecules with high potency. Usually 10–20 generations of
    genetic algorithm are enough for this step.
    2.LINKmodule also utilizes genetic algorithm for linking mole-
    cules and time consumed is proportional to the number of
    generations assigned for genetic algorithm. UnlikeGROW,
    large number of generations ranging from 25,000 to 30,000
    will be required which makes it more time-consuming step.

  2. Ligand molecules generated by modulesGROWandLINKare
    in LIG format.PROCESSscript provided in LigBuilder can be
    used to analyze and filter generated ligands or can be used to
    convert them to Mol2 format to analyze them using other
    software like QikProp.


References



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  3. Hartshorn MJ, Murray CW, Cleasby A,
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