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David Prihoda

Showing results (1-10 of 8) with videos related to

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Bioinformatics Advances|July 17, 2023
TraceTrack, an open-source software for batch processing, alignment and visualization of sanger sequencing chromatogramsKveta Brazdilova, David Prihoda, Quynh Ton, et al.
Mabs|February 8, 2022
BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learningDavid Prihoda, Jad Maamary, Andrew Waight, et al.
Communications Biology|June 19, 2026
Ovo, an open-source ecosystem for de novo protein designDavid Prihoda, Marco Ancona, Tereza Calounova, et al.
Natural Product Reports|November 27, 2020
The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatabilityDavid Prihoda, Julia M Maritz, Ondrej Klempir, et al.
Mabs|August 23, 2023
A machine learning strategy for the identification of key <i>in silico</i> descriptors and prediction models for IgG monoclonal antibody developability propertiesAndrew B Waight, David Prihoda, Rojan Shrestha, et al.
Nucleic Acids Research|August 11, 2019
A deep learning genome-mining strategy for biosynthetic gene cluster predictionGeoffrey D Hannigan, David Prihoda, Andrej Palicka, et al.
NAR Genomics and Bioinformatics|March 14, 2024
mRNAid, an open-source platform for therapeutic mRNA design and optimization strategiesNikita Vostrosablin, Shuhui Lim, Pooja Gopal, et al.
ACS Synthetic Biology|January 12, 2021
Mutation Maker, An Open Source Oligo Design Platform for Protein EngineeringKaori Hiraga, Petr Mejzlik, Matej Marcisin, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Bioinformatics Advances|July 17, 2023
TraceTrack, an open-source software for batch processing, alignment and visualization of sanger sequencing chromatogramsKveta Brazdilova, David Prihoda, Quynh Ton, et al.
Mabs|February 8, 2022
BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learningDavid Prihoda, Jad Maamary, Andrew Waight, et al.
Communications Biology|June 19, 2026
Ovo, an open-source ecosystem for de novo protein designDavid Prihoda, Marco Ancona, Tereza Calounova, et al.
Natural Product Reports|November 27, 2020
The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatabilityDavid Prihoda, Julia M Maritz, Ondrej Klempir, et al.
Mabs|August 23, 2023
A machine learning strategy for the identification of key <i>in silico</i> descriptors and prediction models for IgG monoclonal antibody developability propertiesAndrew B Waight, David Prihoda, Rojan Shrestha, et al.
Nucleic Acids Research|August 11, 2019
A deep learning genome-mining strategy for biosynthetic gene cluster predictionGeoffrey D Hannigan, David Prihoda, Andrej Palicka, et al.
NAR Genomics and Bioinformatics|March 14, 2024
mRNAid, an open-source platform for therapeutic mRNA design and optimization strategiesNikita Vostrosablin, Shuhui Lim, Pooja Gopal, et al.
ACS Synthetic Biology|January 12, 2021
Mutation Maker, An Open Source Oligo Design Platform for Protein EngineeringKaori Hiraga, Petr Mejzlik, Matej Marcisin, et al.
Pageof 1