Search Results for author: Philip M. Kim

Found 3 papers, 2 papers with code

Gate-based Quantum Computing for Protein Design

1 code implementation29 Jan 2022 Mohammad Hassan Khatami, Udson C. Mendes, Nathan Wiebe, Philip M. Kim

In our quantum algorithms, we use custom pair-wise energy tables consisting of eight different amino acids.

Protein Design

Deep Generative Modeling for Protein Design

no code implementations31 Aug 2021 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 protein design.

Image Classification Protein Design

Fast and Flexible Protein Design Using Deep Graph Neural Networks

1 code implementation23 Sep 2020 Alexey Strokach, David Becerra, Carles Corbi-Verge, Albert Perez-Riba, Philip M. Kim

As a proofof-principle validation, we use ProteinSolver to generate sequences that match the structure of serum albumin, then synthesize the top-scoring design and validate it in vitro using circular dichroism.

Protein Design

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