# Gate-based Quantum Computing for Protein Design

@inproceedings{Khatami2022GatebasedQC, title={Gate-based Quantum Computing for Protein Design}, author={Mohammad Hassan Khatami and Udson C. Mendes and Nathan Wiebe and Philip M. Kim}, year={2022} }

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 the low energy states satisfying the configuration. However, exploring all possible combinations of amino acids is generally impossible to achieve on conventional computers due to the exponential growth of possibilities with the number of designable sites. Thus, sampling methods are currently used as a conventional…

## 2 Citations

### Insights from incorporating quantum computing into drug design workflows

- Computer SciencebioRxiv
- 2022

HypaCADD, a hybrid classical-quantum workflow for finding ligands binding to proteins, while accounting for genetic mutations, is presented, which combines classical docking and molecular dynamics with quantum machine learning (QML) to infer the impact of mutations.

### The state of quantum computing applications in health and medicine

- Medicine
- 2023

Clinical and medical proof-of-concept quantum computing applications are outlined and put into perspective, and quantum machine learning (QML) in particular has rapidly evolved and shown to be competitive with classical benchmarks in recent medical research.

### Quantum computing algorithms: getting closer to critical problems in computational biology

- BiologyBriefings in bioinformatics
- 2022

Here, a review and comment on recently developed QC algorithms for biocomputing are reviewed and commented on, with a particular focus on multi-scale modelling and genomic analyses.

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