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Rahmad Akbar
Rahmad Akbar
Researcher, Faculty of Medicine, University of Oslo
Verified email at medisin.uio.no
Title
Cited by
Cited by
Year
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding
R Akbar, PA Robert, M Pavlović, JR Jeliazkov, I Snapkov, A Slabodkin, ...
Cell Reports 34 (11), 108856, 2021
452021
Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires
AJ Brown, I Snapkov, R Akbar, M Pavlović, E Miho, GK Sandve, V Greiff
Molecular Systems Design & Engineering 4 (4), 701-736, 2019
412019
Interaction of ganoderic acid on HIV related target: molecular docking studies
R Akbar, WK Yam
Bioinformation 7 (8), 413, 2011
322011
immuneSIM: tunable multi-feature simulation of B-and T-cell receptor repertoires for immunoinformatics benchmarking
CR Weber, R Akbar, A Yermanos, M Pavlović, I Snapkov, GK Sandve, ...
Bioinformatics 36 (11), 3594-3596, 2020
252020
ALLO: A tool to discriminate and prioritize allosteric pockets
R Akbar, V Helms
Chemical Biology & Drug Design 91 (4), 845-853, 2018
122018
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires
M Pavlović, L Scheffer, K Motwani, C Kanduri, R Kompova, N Vazov, ...
Nature Machine Intelligence 3 (11), 936-944, 2021
112021
Pengembangan Bahan Ajar Pencak silat Untuk Siswa Sekolah Dasar. Sport Science and Health, 2 (7), 350–356
RA Akbar, E Hariyanto
112020
ENRI: A tool for selecting structure‐based virtual screening target conformations
R Akbar, SA Jusoh, RE Amaro, V Helms
Chemical Biology & Drug Design 89 (5), 762-771, 2017
112017
In silico proof of principle of machine learning-based antibody design at unconstrained scale
R Akbar, PA Robert, CR Weber, M Widrich, R Frank, M Pavlović, ...
Mabs 14 (1), 2031482, 2022
92022
One billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction
PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ...
BioRXiV, 2021
82021
Individualized VDJ recombination predisposes the available Ig sequence space
A Slabodkin, M Chernigovskaya, I Mikocziova, R Akbar, L Scheffer, ...
Genome research 31 (12), 2209-2224, 2021
72021
Reference-based comparison of adaptive immune receptor repertoires
CR Weber, T Rubio, L Wang, W Zhang, PA Robert, R Akbar, I Snapkov, ...
bioRxiv, 2022
12022
Interorganelle tethering to endocytic organelles determines directional cytokine transport in CD4+ T cells
Y Zhou, R Zhao, EC Schwarz, R Akbar, M Kaba, V Pattu, V Helms, ...
The Journal of Immunology 205 (11), 2988-3000, 2020
12020
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ...
Mabs 14 (1), 2008790, 2022
2022
Deciphering the complexity of immune repertoires using systems immunology and machine learning
V Greiff, R Akbar, M Pavlovic, CR Weber, I Snapkov, ST Reddy, ...
EUROPEAN JOURNAL OF IMMUNOLOGY 49, 1998-1998, 2019
2019
Lysosome-related organelle tethering controls directionally distinct cytokine transport in T cells
Y Zhou, R Zhao, E Schwarz, R Akbar, V Pattu, V Helms, H Rieger, B Qu
EUROPEAN JOURNAL OF IMMUNOLOGY 49, 414-414, 2019
2019
THEMEAKBAR
R Akbar
https://zenodo.org/record/3362026, 2019
2019
NATURALLY DIGITAL: THE BIG DATA OF NATURE
N Mohd Assaad, R Akbar
Bangi Management Review, 41-43, 2019
2019
Characterizing pockets on the surface of proteins by computational tools
R Akbar
Saarländische Universitäts-und Landesbibliothek, 2018
2018
ANALISIS STRATEGI PEMASARAN PRODUK PERMATA SARI DALAM MENINGKATKAN PENJUALAN MENGGUNAKAN METODE BENCHMARKING DAN SWOT
R AKBAR
Universitas Islam Negeri Sultan Syarif Kasim Riau, 2017
2017
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Articles 1–20