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BSE:532872 • NSE: SPARC • BLOOMBERG: SPADV@IN • REUTERS: SPRC.BO • CIN:L73100GJ2006PLC047837 © 2017 - Sun Pharma Advanced Research Company Limited (SPARC). All Rights Reserved Informatics and Computer Simulations: Experience of SPARC 23 rd May 2019, Budapest
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Page 1: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

BSE:532872 • NSE: SPARC • BLOOMBERG: SPADV@IN • REUTERS: SPRC.BO • CIN:L73100GJ2006PLC047837© 2017 - Sun Pharma Advanced Research Company Limited (SPARC). All Rights Reserved

Informatics and Computer Simulations: Experience of SPARC

23rd May 2019, Budapest

Page 2: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

2© 2017 SPARC

Computational Simulations of Pharmaceutical Formulations: A Case study

Page 3: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

3© 2017 SPARC

Topics

1. Components

2. Parameters for analysis

3. Evolution from packing to nanoparticle formation

4. Snapshots of nanoparticle formation

5. Analysis

6. Summary

Page 4: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

4© 2017 SPARC

System input

Total number of atoms 327376Ensemble: NPTTotal simulation time: 200ns

Formulation components (considering one half of original system):

Drug molecule 30Fatty acid 15PEG 456Cholesterol 4PVP 6Ethanol 543Water 99270Sodium ions for neutral pH 4TOTAL 100,327

Page 5: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

5© 2017 SPARC

Molecular Structures

Page 6: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

6© 2017 SPARC

Computational Pharmaceutics

Parameters considered for analysis are:

H-bond analysis

RMSD

Potential energy

Page 7: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

7© 2017 SPARC

Simulating Drug Molecule…

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 8: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

8© 2017 SPARC

MD simulation

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 9: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

9© 2017 SPARC

T=20 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHO

Page 10: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

10© 2017 SPARC

T=40 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 11: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

11© 2017 SPARC

T=40 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 12: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

12© 2017 SPARC

T=60 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 13: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

13© 2017 SPARC

T=80 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 14: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

14© 2017 SPARC

T=100 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 15: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

15© 2017 SPARC

T=120 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 16: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

16© 2017 SPARC

T=140 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 17: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

17© 2017 SPARC

T=160 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 18: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

18© 2017 SPARC

T=180 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 19: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

19© 2017 SPARC

T=200 ns

Green = DrugBlue = PVPRed = PEGYellow = FABrown = CHOCyan=EtOH

Page 20: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

20© 2017 SPARC

Nanoparticle simulation snapshots…

T=0 ns T=20 ns T=40 ns

T=60 ns T=80 ns T=100 ns

Page 21: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

21© 2017 SPARC

Nanoparticle simulation snapshots…

T=120 ns T=140 ns T=160 ns

T=180 ns T=200 ns

Page 22: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

22© 2017 SPARC

Analysis…

H-bond analysis

RMSD

Potential energy

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23© 2017 SPARC

H-bond analysis

Drug vs Drug

Drug vs PEG

Drug vs PVP

Page 24: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

24© 2017 SPARC

Potential Energy vs Time

-98,5

-980 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

x 10

000

-61,4

-61,2

-61

-60,80 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

x 10

000

-53,5

-53,3

-53,1

-52,90 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

x 10

000

Avg. PE: -98 x104

∆PE -10018

∆PE -8222

∆PE-3979

Avg. PE: -61 x104

Avg. PE: -53 x104

SD 466

Run Time: 200ns Ensemble: NPT Energies: Kcal/mol

Full system

System -PVP

System -PEG

Page 25: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

25© 2017 SPARC

Other systems studied…

System Drug NoPVP NoPEG NoFA NoCHOAverage_Drug-Drug 15.14 31.28 32.80 23.57 29.58Average_Drug-PVP 3.45 - 7.93 9.24 8.18Average_Drug-PEG 4.04 15.23 - 16.10 14.91Average_Drug-FA 0.48 4.28 5.84 - 2.85Average_Drug-CHO 0.053 0.75 1.36 0.086 -

Removal of PVP, PEG, FA and CHO increases Drug-Drug H-bonds

Role of PEG seems increasing as soon as any of the excipients are removed – which means that in the absence of any of the components Drug can still form aggregates in the presence of PEG

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26© 2017 SPARC

Summary

Composition is as per the experimental stoichiometry

Simulation carried for 200 ns – parameters studies are stable

Studies conducted also without PVP, PEG, CHO, FA. PVP and PEG has a larger role in NP stabilization in comparison with CHO and FA

Length of the nanoparticle ~10nm (exclusion – PEG, water, EtOH)

Width is ~7nm

This study can help us understand the role of each excipient in such formulations and help in optimizing formulations

Computational optimization can be leveraged for difficult to formulate drugs

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27© 2017 SPARC

Acknowledgments

Dr. C. T. RaoHead Drug Discovery

Dr. Ajay KhopadeVP, FDD

My colleagues

Dr. Malay Shah, Akbar Shaikh, Dr. Vaibhav Jain and Chetan Puri

And

Sun Pharma Advanced Research Company LimitedVadodara, Gujarat, India

Page 28: Informatics and Computer Simulations: Experience of SPARC · In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used

© 2017 Sun Pharma Advanced Research Company Limited., All Rights Reserved.The SPARC Logo is a trademarks of Sun Pharma Advanced Research Company Ltd . In addition to Company data, data from market research agencies, Stock Exchanges and industry publications has been used for this presentation. This material is for use during an oral presentation; it is not a complete record of the discussion. This work may not be used, sold, transferred, adapted, abridged, copied or reproduced in whole on or in part in any manner or form or in any media without the prior written consent. All product names and company names and logos mentioned herein are the trademarks or registered trademarks of the Company.

Thank You


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