1 / 14

Structure optimization and potential functions for AB-model proteins

Structure optimization and potential functions for AB-model proteins. Sang Bub Lee (KNU, KIAS) Seung-Yeon Kim (KIAS). Motivation. AB model with Fibonacci sequences in 2D and 3D exhibited different energy landscape . (In 2D there might be no folding transition.)

olwen
Download Presentation

Structure optimization and potential functions for AB-model proteins

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Structure optimization and potential functions for AB-model proteins Sang Bub Lee (KNU, KIAS) Seung-Yeon Kim (KIAS)

  2. Motivation • AB model with Fibonacci sequences in 2D and 3D exhibited different energy landscape. (In 2D there might be no folding transition.) • AB model in 3D with different energy functions exhibited different conformations. (Are the optimized structures folded or protein-like?) • In 2D lattice model, recent work reported that certain sequences exhibit no folding transition. What about 3D with a particular energy function?

  3. AB-Model:off-lattice version of HP model [Stilinger et al., PRE 48, 1469 (1993)]A : hydrophobic, B : hydrophilic Fibonacci sequences: Four sequences:

  4. Model I :Hsu, Mehra, and Grassberger (2003) Model II :Irback, Peterson, and Potthast (1997), Liang (2004)

  5. 50* random conformations * Arbitrary numbers Energy minimization Copy Update Bank& Reduce First Bank Bank Generate 50* random conformations, minimize their energiesand add them to both Bank and First Bank Yes All used as a seed ? No No Minimum energy found ? Select 20* seeds Stop Yes Generate 3000 conformations (60* for each seed) by modifying seeds Energy minimization Global optimization method : conformational space annealing

  6. D c u t D a A B E C a D A Global Minimum • Trial conformation:a • Bank conformations: A, B, C, D & E • The closest conformation A (to a) at a distance DaA. • If DaA < Dcut , a replaces A if a is lower in energy than A. • If DaA > Dcut , a replaces B, the highest energyconformation in thebank, if a, in addition, is lower in energy than B. • If a does not satisfy the “lower in energy” condition in either of the two cases, a is discarded.

  7. Energy function: RMSD versus energy for low-lying local minimum energy conformations.

  8. Optimized structures for Model I Model II

  9. Table I. The lowest energies of Model I and Model II for the 3D AB model by CSA, in comparison with those by nPERMis, ELP, and ACMC, respectively. nPERMis : Hsu, Mehra, and Grassberger, Phys. Rev. E 68, 021113 (2003). ELP : Bachmann, Arkin , and Janke, Phys. Rev. E 71, 031906 (2005). ACMC : Liang, J. Chem. Phys. 120, 6756 (2004).

  10. Are those optimized structures all proteinlike? Protein Low temp. RW Theta point SAW High temp. Collapse transition Folding transition Nu = 0.6 (SAW) Nu = 0.5 (RW) Nu < 0.5 (proteins)

  11. Gyration radius AB-model proteins with Fibonacci sequences. Proteins of four different classes in the SCOP database

  12. Energy components : Circle : bending term Square : LJ AA-interaction Triangle : LJ BB-interaction Diamond : LJ AB-interaction Cross : torsional term Inverted triangle : total energy Optimized structures for E1 Optimized structures for E2

  13. Propose simple energy function • Take a bending energy term as simple. • Neglect the torsional energy term. • Vary the LJ attractive term. Green Cn(A,B) = 0 Red Cn(A,B) = 0.5 Gyration radii of the optimized structures for various energy functions

  14. Conclusions • • The AB-attractive interaction is crucial for folded structures. • Folding transition need to be examined carefully using, e.g., the • partition-function zero method. (This is on-going project.)

More Related