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Rahmad Akbar

Showing results (11-20 of 22) with videos related to

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Frontiers in Immunology|March 7, 2024
Corrigendum: Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligenceLorenzo Federico, Brandon Malone, Simen Tennøe, et al.
Frontiers in Immunology|December 4, 2023
Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligenceLorenzo Federico, Brandon Malone, Simen Tennøe, et al.
Cell Reports Methods|September 1, 2022
Reference-based comparison of adaptive immune receptor repertoiresCédric R Weber, Teresa Rubio, Longlong Wang, et al.
Communications Biology|July 31, 2024
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developabilityHabib Bashour, Eva Smorodina, Matteo Pariset, et al.
Cell Reports|March 17, 2021
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen bindingRahmad Akbar, Philippe A Robert, Milena Pavlović, et al.
Cell Reports Methods|February 23, 2023
Toward real-world automated antibody design with combinatorial Bayesian optimizationAsif Khan, Alexander I Cowen-Rivers, Antoine Grosnit, et al.
Mabs|March 16, 2022
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodiesRahmad Akbar, Habib Bashour, Puneet Rawat, et al.
Genome Research|November 24, 2021
Individualized VDJ recombination predisposes the available Ig sequence spaceAndrei Slabodkin, Maria Chernigovskaya, Ivana Mikocziova, et al.
Mabs|April 4, 2022
In silico proof of principle of machine learning-based antibody design at unconstrained scaleRahmad Akbar, Philippe A Robert, Cédric R Weber, et al.
Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Frontiers in Immunology|March 7, 2024
Corrigendum: Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligenceLorenzo Federico, Brandon Malone, Simen Tennøe, et al.
Frontiers in Immunology|December 4, 2023
Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligenceLorenzo Federico, Brandon Malone, Simen Tennøe, et al.
Cell Reports Methods|September 1, 2022
Reference-based comparison of adaptive immune receptor repertoiresCédric R Weber, Teresa Rubio, Longlong Wang, et al.
Communications Biology|July 31, 2024
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developabilityHabib Bashour, Eva Smorodina, Matteo Pariset, et al.
Cell Reports|March 17, 2021
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen bindingRahmad Akbar, Philippe A Robert, Milena Pavlović, et al.
Cell Reports Methods|February 23, 2023
Toward real-world automated antibody design with combinatorial Bayesian optimizationAsif Khan, Alexander I Cowen-Rivers, Antoine Grosnit, et al.
Mabs|March 16, 2022
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodiesRahmad Akbar, Habib Bashour, Puneet Rawat, et al.
Genome Research|November 24, 2021
Individualized VDJ recombination predisposes the available Ig sequence spaceAndrei Slabodkin, Maria Chernigovskaya, Ivana Mikocziova, et al.
Mabs|April 4, 2022
In silico proof of principle of machine learning-based antibody design at unconstrained scaleRahmad Akbar, Philippe A Robert, Cédric R Weber, et al.
Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.
Pageof 3