SIPF: Sampling Method for Inverse Protein Folding-Reference-Cited by-同舟云学术

SIPF: Sampling Method for Inverse Protein Folding

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Fu Tianfan¹,Sun Jimeng²

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. University of Illinois Urbana-Champaign, Champaign, IL, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539284

Reference44 articles.

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2. Ethan C Alley etal 2019. Unified rational protein engineering with sequencebased deep representation learning. Nature methods (2019). Ethan C Alley et al. 2019. Unified rational protein engineering with sequencebased deep representation learning. Nature methods (2019).

3. Christophe Andrieu and Gareth O Roberts . 2009. The pseudo-marginal approach for efficient Monte Carlo computations. The Annals of Statistics ( 2009 ). Christophe Andrieu and Gareth O Roberts. 2009. The pseudo-marginal approach for efficient Monte Carlo computations. The Annals of Statistics (2009).

4. Jose Juan Almagro Armenteros etal 2020. Language modelling for biological sequences--curated datasets and baselines. BioRxiv (2020). Jose Juan Almagro Armenteros et al. 2020. Language modelling for biological sequences--curated datasets and baselines. BioRxiv (2020).

5. Tristan Bepler and Bonnie Berger . 2019. Learning protein sequence embeddings using information from structure. ICLR ( 2019 ). Tristan Bepler and Bonnie Berger. 2019. Learning protein sequence embeddings using information from structure. ICLR (2019).

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