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A Computational Enzyme Activity Design of HIV-1 Protease Luca De Vico WATOC 2011 Santiago de Compostela, Spain
What the project is about Modify a protease in order to cleave another desired sequence New enzymatic activity towards a specific sequence Rational redesign of the enzyme Valuable tool for biological applications Extended to any sequence Experimental and computational collaboration
Enzyme redesign: what is needed - A target sequence to cleave - A template protease: HIV-1 protease ✂ Pro His Leu Ser Phe Met Ala Ile Pro Pro
Enzyme redesign: what is needed ,[object Object],PyRosetta 1.1 based peptide-docking protocol(Chaudhury and Gray, Structure, 2009) tailored for HIV-1 protease discern cleavability predict the specificity determining residues
Enzyme redesign: what is needed X-ray structure of wild type protease docked with one of its natural substrates: 1KJ7 The protocol has to produce: - reasonable structures with many different substrate peptides bound - generate mutants with lower binding energy
Our PyRosetta optimization protocol Substrate peptide sequence Starting structure x6 f, ψ, χ perturbations Energy minimization (David-Fletcher-Powell) x8 x4 Out of 500 decoy structures the lower in energy is chosen. x6 MC criterion Side-chain packing MC criterion ca. 24 hours on 5 cpus Output decoy
The perturbation and minimization are on: Backbone Side chains Substrate peptide Protease cavity Residues inside 5 Å radius from the peptide Any residue reported as active in Chaudhury et al. Their ±1 sequence neighbors  Both chains have the same residues as “movable”
Refinement of the PyRosetta results ,[object Object]
FMO inputs from FRAGIT
ca. 8 hours on 64 cpus per structure
Used to compute qualitative binding energiesEbinding = Ecomplex – Eapo – Epeptide
Qualitative binding energies FMO MP2/PCM/6-31G* (kcal/mol), Wild Type protease Average binding energy  Natural Target Cleavable Peptides -60.9 Min value -79.2 Max value -41.1 Standard deviation 11.0 Average binding energy  Known NON-CleavablePeptides -13.7 Min value -68.3 Max value 61.0 Standard deviation 28.1 Target peptide sequence binding energy: -24.1
Enzyme redesign: mutation protocol Among the cleavable peptides sequences, the closest to the target is mutated into the target sequence, one amino acid at the time Cleavable start ✂ ✂ Val Ser Phe Asn Phe Met Ala Ile Leu Thr Pro His Leu Ser Phe Pro Gln Ile Pro Pro Target
Enzyme redesign: mutation protocol ,[object Object]
Only the protease 6 specificity determining residues are allowed to mutate (ca. 2000 total rotamers per perturbation)
ca. 40 hours on 5 cpus per cycle,[object Object]
 Outlook 						   Acknowledgement ,[object Object]
Evaluation of energy barrier for qualitative differences between wild type and mutated protease
Comparison with on-going experimental data
Dep. Chemistry: Jan Jensen, Casper Steinmann
Dep. Biology: JakobWinther, Martin Willemöes, Helen Webb

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Watoc luca-de-vico-21-july-2011

  • 1. A Computational Enzyme Activity Design of HIV-1 Protease Luca De Vico WATOC 2011 Santiago de Compostela, Spain
  • 2. What the project is about Modify a protease in order to cleave another desired sequence New enzymatic activity towards a specific sequence Rational redesign of the enzyme Valuable tool for biological applications Extended to any sequence Experimental and computational collaboration
  • 3. Enzyme redesign: what is needed - A target sequence to cleave - A template protease: HIV-1 protease ✂ Pro His Leu Ser Phe Met Ala Ile Pro Pro
  • 4.
  • 5. Enzyme redesign: what is needed X-ray structure of wild type protease docked with one of its natural substrates: 1KJ7 The protocol has to produce: - reasonable structures with many different substrate peptides bound - generate mutants with lower binding energy
  • 6. Our PyRosetta optimization protocol Substrate peptide sequence Starting structure x6 f, ψ, χ perturbations Energy minimization (David-Fletcher-Powell) x8 x4 Out of 500 decoy structures the lower in energy is chosen. x6 MC criterion Side-chain packing MC criterion ca. 24 hours on 5 cpus Output decoy
  • 7. The perturbation and minimization are on: Backbone Side chains Substrate peptide Protease cavity Residues inside 5 Å radius from the peptide Any residue reported as active in Chaudhury et al. Their ±1 sequence neighbors Both chains have the same residues as “movable”
  • 8.
  • 10. ca. 8 hours on 64 cpus per structure
  • 11. Used to compute qualitative binding energiesEbinding = Ecomplex – Eapo – Epeptide
  • 12. Qualitative binding energies FMO MP2/PCM/6-31G* (kcal/mol), Wild Type protease Average binding energy Natural Target Cleavable Peptides -60.9 Min value -79.2 Max value -41.1 Standard deviation 11.0 Average binding energy Known NON-CleavablePeptides -13.7 Min value -68.3 Max value 61.0 Standard deviation 28.1 Target peptide sequence binding energy: -24.1
  • 13. Enzyme redesign: mutation protocol Among the cleavable peptides sequences, the closest to the target is mutated into the target sequence, one amino acid at the time Cleavable start ✂ ✂ Val Ser Phe Asn Phe Met Ala Ile Leu Thr Pro His Leu Ser Phe Pro Gln Ile Pro Pro Target
  • 14.
  • 15. Only the protease 6 specificity determining residues are allowed to mutate (ca. 2000 total rotamers per perturbation)
  • 16.
  • 17.
  • 18. Evaluation of energy barrier for qualitative differences between wild type and mutated protease
  • 19. Comparison with on-going experimental data
  • 20. Dep. Chemistry: Jan Jensen, Casper Steinmann
  • 21. Dep. Biology: JakobWinther, Martin Willemöes, Helen Webb
  • 22. Funding provided by the Danish Research Council for Technology and Production Sciences (FTP)
  • 23.
  • 24. Extra
  • 25. Cleavable sequences WT HIV-1 protease recognized sequences
  • 26. Example of optimization convergence MA-CA Each optimization cycle requires ca. 24 hours on 5 cpus
  • 27. FMO MP2/PCM/6-31G* binding energies of cleavable peptides Kcal/mol Differences between the binding energies of WT HIV-1 protease and its natural substrates are expected and will be experimentally checked
  • 28. Enzyme redesign Among the experimentally verified cleavable peptides, the closest to the target sequence is chosen Target sequence TF-PR cleavage sequence, candidate starting sequence Specificity most involved peptide residues The candidate substrate sequence is mutated into the target sequence one amino acid at the time
  • 29. Enzyme redesign The candidate substrate sequence is mutated into the target sequence one amino acid at the time
  • 30. Specificity determining residues P3’ V82 G48’ L76 P4’ high P1’ I47’ medium P2 P2’ D30’ low P1 P3 P4 I84’