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Rahmad Akbar
Rahmad Akbar
Researcher, Faculty of Medicine, University of Oslo
Verified email at medisin.uio.no
Title
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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
732021
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
482019
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
392020
Interaction of ganoderic acid on HIV related target: molecular docking studies
R Akbar, WK Yam
Bioinformation 7 (8), 413, 2011
382011
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
292022
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
292021
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
192022
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
182021
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, 2021.07. 06.451258, 2021
162021
ALLO: A tool to discriminate and prioritize allosteric pockets
R Akbar, V Helms
Chemical Biology & Drug Design 91 (4), 845-853, 2018
132018
Pengembangan Bahan Ajar Pencak silat Untuk Siswa Sekolah Dasar. Sport Science and Health, 2 (7), 350–356
RA Akbar, E Hariyanto
122020
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
122017
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ...
Nature Computational Science 2 (12), 845-865, 2022
62022
Reference-based comparison of adaptive immune receptor repertoires
CR Weber, T Rubio, L Wang, W Zhang, PA Robert, R Akbar, I Snapkov, ...
Cell Reports Methods 2 (8), 100269, 2022
62022
ImmunoLingo: Linguistics-based formalization of the antibody language
MH Vu, PA Robert, R Akbar, B Swiatczak, GK Sandve, DTT Haug, V Greiff
arXiv preprint arXiv:2209.12635, 2022
22022
Toward real-world automated antibody design with combinatorial Bayesian optimization
A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ...
Cell Reports Methods, 100374, 2023
12023
Advancing protein language models with linguistics: a roadmap for improved interpretability
MH Vu, R Akbar, PA Robert, B Swiatczak, V Greiff, GK Sandve, DTT Haug
arXiv preprint arXiv:2207.00982, 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
Stability, orientation and position preference of the stem region (residues 689-703) in Hepatitis C Virus (HCV) envelope glycoprotein E2: a molecular dynamics study
R Akbar, SA Jusoh
F1000Research 2, 2013
12013
Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database
A Al-Khdhairawi, D Sanuri, R Akbar, SD Lam, S Sugumar, N Ibrahim, ...
Computational Biology and Chemistry 102, 107800, 2023
2023
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