Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Artificial Neural Network Based Approach for Identification of Native
  Protein Structures using an Extended ForceField   Current protein forcefields like the ones seen in CHARMM or Xplor-NIH have
many terms that include bonded and non-bonded terms. Yet the forcefields do not
take into account the use of hydrogen bonds which are important for secondary
structure creation and stabilization of proteins. SCOPE is an open-source
program that generates proteins from rotamer space. It then creates a
forcefield that uses only non-bonded and hydrogen bond energy terms to create a
profile for a given protein. The profiles can then be used in an artificial
neural network to create a linear model that is funneled to the true protein
conformation.

20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat