De novo drug design

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Pharmacogenomics & Drug Design de novo de novo Drug Design Drug Design S.Prasanth Kumar, S.Prasanth Kumar, Bioinformatician Bioinformatician S.Prasanth Kumar Dept. of Bioinformatics Applied Botany Centre (ABC) Gujarat University, Ahmedabad, INDIA www.facebook.com/Prasanth Sivakumar FOLLOW ME ON ACCESS MY RESOURCES IN SLIDESHARE prasanthperceptron CONTACT ME prasanthbioinformatics@gmail. com

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De novo drug designing strategies

Transcript of De novo drug design

Page 1: De novo drug design

S.Prasanth Kumar, S.Prasanth Kumar, BioinformaticianBioinformatician

Pharmacogenomics & Drug Design

de novode novo Drug Design Drug Design

S.Prasanth Kumar, S.Prasanth Kumar, BioinformaticianBioinformatician

S.Prasanth Kumar Dept. of Bioinformatics Applied Botany Centre (ABC) Gujarat University, Ahmedabad, INDIA

www.facebook.com/Prasanth Sivakumar

FOLLOW ME ON

ACCESS MY RESOURCES IN SLIDESHARE

prasanthperceptron

CONTACT ME

[email protected]

Page 2: De novo drug design

From Scratch

DE NOVO DESIGNThe design of bioactive compounds by incremental construction of a ligand model within a model of the receptor or enzyme active site, the structure of which is known from X-ray or NMR data

a de novo design program

how to assemble the candidatecompounds; how to evaluate their potential quality;how to sample the search space effectively.

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Primary Target Constraints

PRIMARY TARGET CONSTRAINTS(The binding affinity of a ligand to the particular biological target)

Receptor-based

Derivation of Interaction Site

Ligand-based

(subdivided into hydrogen bonds, electrostatic and hydrophobic interactions)

HSITE – hydrogen acceptor–donor pairsHIPPO - lipophilic

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Receptor-based scoring

Scoring functions rank the generated structures and thereby suggest which structures are the most promising ones

Force fields: Energy Minimization LEGEND

Empirical scoring functions are a weighted sum of individual ligand–receptor interaction types commonly supplemented by penalty terms, such asthe number of rotatable ligand bonds.LUDI

Knowledge-based scoring is grounded on a statistical analysis of ligand–receptor complex structures. The frequencies of each possible pair of atoms in contact to each other are determined.SmoG

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Ligand-based scoring

Particular biological target is unavailable but one or more binding moleculesare known

HO

H3C

Pseudo-Receptor

PharmacophoreHO

H3C

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Secondary Target Constraints

Constraints other than the binding affinity are secondary constraints.

Candidate compounds with an increased chance of oral bioavailability can be obtained by filtering the designed structures with Lipinski’s rule of-five

A list of undesirable substructures for ease in the synthesis

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Principles of structure-based ligand assembly

Link/grow strategy

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Principles of structure-based ligand assembly

Lattice strategy

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Search Space Exploration

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Why De novo Drug Design ?

Complementary strategy to HTS

NCEs that were designed taking into consideration several aspects oflead- and drug-likeness and synthetic accessibility

De novo design offers a broader exploration of chemical space and therefore makes it possible to identify novel ligand scaffolds