1 / 5

Tama, Miyashita, Brooks. 2004. 337 . 985-999

Flexible Multi-scale Fitting of Atomic Structures into Low-resolution Electron Density Maps with Elastic Network Normal Mode Analysis. Tama, Miyashita, Brooks. 2004. 337 . 985-999.

mari-solis
Download Presentation

Tama, Miyashita, Brooks. 2004. 337 . 985-999

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. Flexible Multi-scale Fitting of Atomic Structures into Low-resolution Electron Density Maps with Elastic Network Normal Mode Analysis Tama, Miyashita, Brooks. 2004. 337. 985-999 Used NMA to fit high resolution xtal structures to low resolution EM maps. Mostly concerned with conformational change. Also employed flexible fitting method with Calpha only claiming this allowed larger systems to be computationally tractable. Show that this method works better than Situs package on the targets they tested.

  2. ProMate: A Structure Based Prediction Program to Identify the Localization of Protein-Protein Binding Sites Neuvirth, Raz, Schreiber. 2004. 338. 181-199 Binding surfaces share common properties that distinguish them from non-binding surfaces Interesting review of binding surface properties, as compiled through many investigations I think they draw some questionable conclusions. The algorithm correctly predicts the binding site in about 50% of cases, random would be 13%. Clear preference for binding interface to exist in region of loops. Mean loop length 11.17

  3. Testing a Flexible-receptor Docking Algorithm in a Model Binding Site Wei, Weaver, Ferrari, Matthews, Shoichet. 2004. 337. 1161-1182 Flexible receptor obtained by ensemble of xtal structures Linear scaling opposed to exponential scaling Recommend reading, wont say much more.

  4. Can Contact Potentials Reliably Predict Stability of Proteins? Khatun, Khare, Dokholyan. 2004. 336. 1223-1238 Contact potential describes the relative free energy of a given protein conformation by evaluating the interaction among residues Evaluate a set of mutants and try to predict the ΔΔG for a single amino acid mutation - contact potentials parameterized from experimental data (experimental error ~ kt) They show that contact potentials are neither accurate nor transferable and claim that it is impossible to develop a set of transferable contact parameters to assess changes in stability of multiple proteins.

  5. Protein Flexibility in Ligand Docking and Virtual Screening to Protein Kinases Cavasotto, Abagyan. 2004. 337. 209-225 ICM-flexible receptor docking algorithm (IFREDA) -generates a discrete set of receptor conformations Claims: -both side chain rearrangements and backbone movements, including loop movements are taken into account -this method helps when no holo structure available, they dock ligand into pocket, rotate and translate, reoptimize pocket, use this ensemble for docking

More Related