Rahmad Akbar
Orcid: 0000-0002-6692-0876
According to our database1,
Rahmad Akbar
authored at least 8 papers
between 2020 and 2023.
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Bibliography
2023
Linguistically inspired roadmap for building biologically reliable protein language models.
Nat. Mac. Intell., May, 2023
Machine learning and molecular simulation ascertain antimicrobial peptide against <i>Klebsiella pneumoniae</i> from public database.
Comput. Biol. Chem., February, 2023
Progress and challenges for the application of machine learning for neglected tropical diseases.
F1000Research, 2023
2022
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.
Nat. Comput. Sci., 2022
Advancing protein language models with linguistics: a roadmap for improved interpretability.
CoRR, 2022
2021
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.
Nat. Mach. Intell., 2021
2020
immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking.
Bioinform., 2020