Name
Abstract | ||
|---|---|---|
When performing complex analysis of protein molecules, chemists
need to analyze the behavior of channels in protein molecules.
There are various methods which can be used for analyzing
channels in a static molecule. However, no specialized method
that would be able to follow an opening and closing of channels
in a moving molecule exists. This paper surveys several
possible methods, which are able to partition channels computed
in a sequence of molecule snapshots into clusters representing
progress of channels in the sequence. All presented methods are
built on top of previous static methods of channel computation.
They process molecule samples in time and are based on
computing channels independently in these samples. Computed
channels are classified subsequently. The methods were piloted
on real data. The results are discussed and main advantages and
disadvantages of the methods are mentioned. |
Year | Venue | Field |
|---|---|---|
2009 | IADIS AC (1) | Cluster (physics),Nanotechnology,Biological system,Molecule,Protein dynamics,Communication channel,Chemistry,Protein molecules,Partition (number theory),Computation |
DocType | Citations | PageRank |
Conference | 1 | 0.46 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petr Benes | 1 | 74 | 4.25 |
| Petr Medek | 2 | 59 | 3.58 |
| Jiri Sochor | 3 | 119 | 11.85 |