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Group 3 In-Silico
Charlene Rivera
Monica Rivera
Omar Padró
John Muñoz
Introduction
• What is In-Silico?
– Merriam-Webster definition: in or on a computer :
done or produced by using computer software or
simulation.
• What is ZINCPharmer?
– is an online interface for searching the
purchasable compounds of the ZINC database
using the Pharmer pharmacophore search
technology
Primary screening: Filtering of drug database (Ligand
Scout)
• Primary screening: Filtering of drug database
• Objective: Identification of compounds that
fulfill requirements of pharmacophore model
generation.
• What is needed:
– 1. Pharmacophore Model
– 2. Access to ZINCPharmer
– 3. Drug Database
Procedure
1. Run the Pharmacophore Model in
ZINCPharmer
2. Conversion of results from .sdf to .mol2
3. Upload the Results to server (NanoBio) in
UPR-Hight Performance Computer Facility
(HPCf) using CyberDuck.
4. Connect to NanoBio in UPR-High
Performance Computer Facility (HPCf)
5. Conversion of Results
Results
681 hits in 1.204 seconds
Conclusions
• At the end of the filtering procedures,
compounds that would possibly fulfill the
pharmacophore model requirements were
identified
• 681 hits in 1.204 seconds were identified as a
result of the first screening
• Each screening served as a filtrate to each of the
compounds that were selected
• It is very useful because of the precise selection
of compounds to be used on a second screening
process
Conclusions
• To identify specific chemical groups would
lead to a more precise search of potential lead
compounds
• Screening processes help scientists on the
discovery of new drugs, and therapies against
several diseases related to drug effects on the
human body
Any questions?

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In silico-1-1

  • 1. Group 3 In-Silico Charlene Rivera Monica Rivera Omar Padró John Muñoz
  • 2. Introduction • What is In-Silico? – Merriam-Webster definition: in or on a computer : done or produced by using computer software or simulation. • What is ZINCPharmer? – is an online interface for searching the purchasable compounds of the ZINC database using the Pharmer pharmacophore search technology
  • 3. Primary screening: Filtering of drug database (Ligand Scout) • Primary screening: Filtering of drug database • Objective: Identification of compounds that fulfill requirements of pharmacophore model generation. • What is needed: – 1. Pharmacophore Model – 2. Access to ZINCPharmer – 3. Drug Database
  • 4. Procedure 1. Run the Pharmacophore Model in ZINCPharmer 2. Conversion of results from .sdf to .mol2 3. Upload the Results to server (NanoBio) in UPR-Hight Performance Computer Facility (HPCf) using CyberDuck. 4. Connect to NanoBio in UPR-High Performance Computer Facility (HPCf) 5. Conversion of Results
  • 5.
  • 6. Results 681 hits in 1.204 seconds
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. Conclusions • At the end of the filtering procedures, compounds that would possibly fulfill the pharmacophore model requirements were identified • 681 hits in 1.204 seconds were identified as a result of the first screening • Each screening served as a filtrate to each of the compounds that were selected • It is very useful because of the precise selection of compounds to be used on a second screening process
  • 12. Conclusions • To identify specific chemical groups would lead to a more precise search of potential lead compounds • Screening processes help scientists on the discovery of new drugs, and therapies against several diseases related to drug effects on the human body