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researcher

B. Schubert

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.QM2

identity via Semantic Scholar / OpenAlex

most citedImproved proteasomal cleavage prediction with positive-unlabeled learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2022★ 1 cited

Improved proteasomal cleavage prediction with positive-unlabeled learning

Emilio Dorigatti, Bernd Bischl, Benjamin Schubert

Accurate in silico modeling of the antigen processing pathway is crucial to enable personalized epitope vaccine design for cancer. An important step of such pathway is the degradat…

q-bio.QM2022

What cleaves? Is proteasomal cleavage prediction reaching a ceiling?

Ingo Ziegler, Bolei Ma, Ercong Nie +4

Epitope vaccines are a promising direction to enable precision treatment for cancer, autoimmune diseases, and allergies. Effectively designing such vaccines requires accurate predi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.