| 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), 2021 | 149 | 2021 |
| 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 | 83 | 2022 |
| 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 | 65 | 2019 |
| 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 | 63 | 2020 |
| 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 | 59 | 2022 |
| 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 | 59 | 2021 |
| Interaction of ganoderic acid on HIV related target: molecular docking studies R Akbar, WK Yam Bioinformation 7 (8), 413, 2011 | 45 | 2011 |
| 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 | 30 | 2022 |
| 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 | 30 | 2021 |
| Linguistically inspired roadmap for building biologically reliable protein language models MH Vu, R Akbar, PA Robert, B Swiatczak, GK Sandve, V Greiff, DTT Haug Nature Machine Intelligence 5 (5), 485-496, 2023 | 24* | 2023 |
| 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 3 (1), 2023 | 24 | 2023 |
| 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 | 24 | 2021 |
| Antbo: Towards real-world automated antibody design with combinatorial bayesian optimisation A Khan, AI Cowen-Rivers, A Grosnit, DGX Deik, PA Robert, V Greiff, ... arXiv preprint arXiv:2201.12570, 2022 | 16 | 2022 |
| ALLO: A tool to discriminate and prioritize allosteric pockets R Akbar, V Helms Chemical Biology & Drug Design 91 (4), 845-853, 2018 | 16 | 2018 |
| Pengembangan Bahan Ajar Pencak silat Untuk Siswa Sekolah Dasar. Sport Science and Health, 2 (7), 350–356 RA Akbar, E Hariyanto | 15 | 2020 |
| 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 | 14 | 2017 |
| 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), 2022 | 12 | 2022 |
| 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 | 7 | 2023 |
| 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 | 6 | 2022 |
| Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... Taylor & Francis, 2022 | 6 | 2022 |
Volkhard HelmsSaarland University, Saarbruecken, GermanyVerified email at bioinformatik.uni-saarland.de
