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B Ascher

Showing results (61-70 of 268) with videos related to

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Protein Science : a Publication of the Protein Society|September 4, 2020
DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutationsCarlos H M Rodrigues, Douglas E V Pires, David B Ascher
Nucleic Acids Research|May 30, 2020
mCSM-membrane: predicting the effects of mutations on transmembrane proteinsDouglas E V Pires, Carlos H M Rodrigues, David B Ascher
Nucleic Acids Research|April 24, 2021
mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactionsCarlos H M Rodrigues, Douglas E V Pires, David B Ascher
Journal of Chemical Information and Modeling|January 3, 2023
embryoTox: Using Graph-Based Signatures to Predict the Teratogenicity of Small MoleculesRaghad Aljarf, Simon Tang, Douglas E V Pires, et al.
Journal of Chemical Information and Modeling|November 1, 2021
pdCSM-PPI: Using Graph-Based Signatures to Identify Protein-Protein Interaction InhibitorsCarlos H M Rodrigues, Douglas E V Pires, David B Ascher
Briefings in Bioinformatics|April 11, 2023
epitope1D: accurate taxonomy-aware B-cell linear epitope predictionBruna Moreira da Silva, David B Ascher, Douglas E V Pires
Scientific Reports|June 21, 2022
Understanding and predicting the functional consequences of missense mutations in BRCA1 and BRCA2Raghad Aljarf, Mengyuan Shen, Douglas E V Pires, et al.
Bioinformatics Advances|December 13, 2021
pdCSM-GPCR: predicting potent GPCR ligands with graph-based signaturesJoão Paulo L Velloso, David B Ascher, Douglas E V Pires
Nucleic Acids Research|May 23, 2024
DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learningYunzhuo Zhou, YooChan Myung, Carlos H M Rodrigues, et al.
Briefings in Bioinformatics|February 21, 2022
Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structuresQisheng Pan, Thanh Binh Nguyen, David B Ascher, et al.
Pageof 27

Showing results (61-70 of 268) with videos related to

Sort By:
Pageof 27
Protein Science : a Publication of the Protein Society|September 4, 2020
DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutationsCarlos H M Rodrigues, Douglas E V Pires, David B Ascher
Nucleic Acids Research|May 30, 2020
mCSM-membrane: predicting the effects of mutations on transmembrane proteinsDouglas E V Pires, Carlos H M Rodrigues, David B Ascher
Nucleic Acids Research|April 24, 2021
mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactionsCarlos H M Rodrigues, Douglas E V Pires, David B Ascher
Journal of Chemical Information and Modeling|January 3, 2023
embryoTox: Using Graph-Based Signatures to Predict the Teratogenicity of Small MoleculesRaghad Aljarf, Simon Tang, Douglas E V Pires, et al.
Journal of Chemical Information and Modeling|November 1, 2021
pdCSM-PPI: Using Graph-Based Signatures to Identify Protein-Protein Interaction InhibitorsCarlos H M Rodrigues, Douglas E V Pires, David B Ascher
Briefings in Bioinformatics|April 11, 2023
epitope1D: accurate taxonomy-aware B-cell linear epitope predictionBruna Moreira da Silva, David B Ascher, Douglas E V Pires
Scientific Reports|June 21, 2022
Understanding and predicting the functional consequences of missense mutations in BRCA1 and BRCA2Raghad Aljarf, Mengyuan Shen, Douglas E V Pires, et al.
Bioinformatics Advances|December 13, 2021
pdCSM-GPCR: predicting potent GPCR ligands with graph-based signaturesJoão Paulo L Velloso, David B Ascher, Douglas E V Pires
Nucleic Acids Research|May 23, 2024
DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learningYunzhuo Zhou, YooChan Myung, Carlos H M Rodrigues, et al.
Briefings in Bioinformatics|February 21, 2022
Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structuresQisheng Pan, Thanh Binh Nguyen, David B Ascher, et al.
Pageof 27