Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting Drug Interactions and Mutagenicity with Ensemble Classifiers
  on Subgraphs of Molecules   In this study, we intend to solve a mutual information problem in interacting
molecules of any type, such as proteins, nucleic acids, and small molecules.
Using machine learning techniques, we accurately predict pairwise interactions,
which can be of medical and biological importance. Graphs are are useful in
this problem for their generality to all types of molecules, due to the
inherent association of atoms through atomic bonds. Subgraphs can represent
different molecular domains. These domains can be biologically significant as
most molecules only have portions that are of functional significance and can
interact with other domains. Thus, we use subgraphs as features in different
machine learning algorithms to predict if two drugs interact and predict
potential single molecule effects.

36
The categories of this paper are: cmp-lg
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys