Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide
  Sequences   Given the emerging global threat of antimicrobial resistance, new methods for
next-generation antimicrobial design are urgently needed. We report a peptide
generation framework PepCVAE, based on a semi-supervised variational
autoencoder (VAE) model, for designing novel antimicrobial peptide (AMP)
sequences. Our model learns a rich latent space of the biological peptide
context by taking advantage of abundant, unlabeled peptide sequences. The model
further learns a disentangled antimicrobial attribute space by using the
feedback from a jointly trained AMP classifier that uses limited labeled
instances. The disentangled representation allows for controllable generation
of AMPs. Extensive analysis of the PepCVAE-generated sequences reveals superior
performance of our model in comparison to a plain VAE, as PepCVAE generates
novel AMP sequences with higher long-range diversity, while being closer to the
training distribution of biological peptides. These features are highly desired
in next-generation antimicrobial design.

12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol