Concepedia

David Příhoda

DP

7

Publications

626

Citations

7

H-Index

2019

Active since

Affiliations

University of Chemistry and Technology, Prague(Current)

Merck & Co., Inc., Rahway, NJ, USA (United States)

Czech Academy of Sciences, Institute of Molecular Genetics

David Příhoda is an author at University of Chemistry and Technology, Prague specializing in engineering, deep learning, and drug discovery.

ORCID

Top concepts

Publications per year

2019–2024

7

Publications

7

A deep learning genome-mining strategy for biosynthetic gene cluster prediction

Geoffrey D. Hannigan, David Příhoda, Andrej Palička et al. · Nucleic Acids Research · 2019 · 355 citations · Full text

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BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning

David Příhoda, Jad Maamary, Andrew B. Waight et al. · mAbs · 2022 · 179 citations · Full text

A machine learning strategy for the identification of key <i>in silico</i> descriptors and prediction models for IgG monoclonal antibody developability properties

Andrew B. Waight, David Příhoda, Rojan Shrestha et al. · mAbs · 2023 · 36 citations · Full text

Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection

Ondřej Klempíř, David Příhoda, Radim Krupička · Measurement Science Review · 2023 · 17 citations · Full text

, , +19

mRNAid, an open-source platform for therapeutic mRNA design and optimization strategies

Nikita Vostrosablin, Shuhui Lim, Pooja Gopal et al. · NAR Genomics and Bioinformatics · 2024 · 17 citations · Full text

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