11.. -*- coding: utf-8 -*-
22 .. _`adk-transitions-DIMS-dataset` :
33
4- =======================================
5- AdK DIMS transitions ensemble dataset
6- =======================================
4+ AdK DIMS transitions ensemble dataset
5+ =====================================
76
87The macromolecular conformational transition between the closed
98conformation of apo-adenylate kinase from E. coli (EcAdK) to the open
109conformation was sampled with two methods: (1) dynamic importance
11- sampling molecular dynamics (DIMS MD), and (2) Framework Rigidity
12- Optimized Dynamics Algorithm (FRODA). Each ensemble of independently
13- generated paths contains 200 trajectories in the CHARMM DCD format.
10+ sampling molecular dynamics (DIMS MD) [Perilla2009 ]_, and (2)
11+ Framework Rigidity Optimized Dynamics Algorithm (FRODA)
12+ [Farrell2010 ]_. Each ensemble of independently generated paths
13+ contains 200 trajectories in the CHARMM DCD format.
1414
15- This data set contains the *DIMS * ensemble.
15+ This data set contains the ** DIMS * * ensemble.
1616
1717DIMS AdK (implicit solvent) with dynamic importance sampling MD from
1818closed (1AKE) to open (4AKE). CHARMM 22 force field. Topology file:
@@ -34,8 +34,8 @@ Data set characteristics:
3434 :reference: [Seyler2015 ]_
3535
3636
37- .. [Seyler2015 ] Seyler SL, Kumar A, Thorpe MF, Beckstein O (2015)
38- Path Similarity Analysis: A Method for Quantifying
39- Macromolecular Pathways. PLoS Comput Biol 11(10):
40- e1004568. https://doi.org/10.1371/journal.pcbi.1004568
37+ [Seyler2015] Seyler SL, Kumar A, Thorpe MF, Beckstein O (2015) Path
38+ Similarity Analysis: A Method for Quantifying
39+ Macromolecular Pathways. PLoS Comput Biol 11(10):
40+ e1004568. https://doi.org/10.1371/journal.pcbi.1004568
4141
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