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researcher

Philip M. Kim

4 papers hereh-index 5113.4k citations111 works total

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

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.GN1
  • q-bio.MN1
  • q-bio.QM1
same name
  • Philip M. Kim — 1 paper
  • Philip M. Kim — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20072022
most citedGate-based Quantum Computing for Protein Design

26 citations · 27 across the 3 of their papers we have counts for

collaborators

4 papers

q-bio.QM2022★ 26 cited

Gate-based Quantum Computing for Protein Design

Mohammad Hassan Khatami, Udson C. Mendes, Nathan Wiebe +1

Protein design is a technique to engineer proteins by modifying their sequence to obtain novel functionalities. In this method, amino acids in the sequence are permutated to find t…

cs.LG2021

Deep Generative Modeling for Protein Design

Alexey Strokach, Philip M. Kim

Deep learning approaches have produced substantial breakthroughs in fields such as image classification and natural language processing and are making rapid inroads in the area of…

q-bio.GN2007★ 1 cited

Copy Number Variants and Segmental Duplications Show Different Formation Signatures

Philip M. Kim, Jan O. Korbel, Xueying Chen +1

In addition to variation in terms of single nucleotide polymorphisms (SNPs), whole regions ranging from several kilobases up to a megabase in length differ in copy number among ind…

q-bio.MN2007

Comparing Classical Pathways and Modern Networks: Towards the Development of an Edge Ontology

Long J. Lu, Andrea Sboner, Yuanpeng J. Huang +6

Pathways are integral to systems biology. Their classical representation has proven useful but is inconsistent in the meaning assigned to each arrow (or edge) and inadvertently imp…

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