Rahmad Akbar

According to our database, Rahmad Akbar authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Linguistics-based formalization of the antibody language as a basis for antibody language models.

Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff

Nat. Comput. Sci., June, 2024

Predictability of antigen binding based on short motifs in the antibody CDRH3.

Lonneke Scheffer, Eric Emanuel Reber, Brij Bhushan Mehta, Milena Pavlovic, Maria Chernigovskaya, Eve Richardson, Rahmad Akbar, Fridtjof Lund-Johansen, Victor Greiff, Ingrid Hobæk Haff, Geir Kjetil Sandve

Briefings Bioinform., 2024

2023

Linguistically inspired roadmap for building biologically reliable protein language models.

Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Geir Kjetil Sandve, Victor Greiff, Dag Trygve Truslew Haug

Nat. Mac. Intell., May, 2023

Machine learning and molecular simulation ascertain antimicrobial peptide against <i>Klebsiella pneumoniae</i> from public database.

Ahmad Al-Khdhairawi, Danish Sanuri, Rahmad Akbar, Su Datt Lam, Shobana Sugumar, Nazlina Ibrahim, Sylvia Chieng, Fareed Sairi

Comput. Biol. Chem., February, 2023

Progress and challenges for the application of machine learning for neglected tropical diseases.

Chung Yuen Khew, Rahmad Akbar, Norfarhan Mohd. Assaad

F1000Research, 2023

2022

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.

Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlovic, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Truslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff

Nat. Comput. Sci., 2022

ImmunoLingo: Linguistics-based formalization of the antibody language.

Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff

CoRR, 2022

Advancing protein language models with linguistics: a roadmap for improved interpretability.

Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Victor Greiff, Geir Kjetil Sandve, Dag Trygve Truslew Haug

CoRR, 2022

2021

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.

Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, Knut Waagan, Fabian L. M. Bernal, Alexandre Almeida Costa, Brian Corrie, Rahmad Akbar, Ghadi S. Al Hajj, Gabriel Balaban, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Lindsay G. Cowell, Robert Frank, Ivar Grytten, Sveinung Gundersen, Ingrid Hobæk Haff, Eivind Hovig, Ping-Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut D. Rand, Enrico Riccardi, Philippe A. Robert, Artur Rocha, Andrei Slabodkin, Igor Snapkov, Ludvig Magne Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve

Nat. Mach. Intell., 2021

2020

immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking.

Cédric R. Weber, Rahmad Akbar, Alexander Yermanos, Milena Pavlovic, Igor Snapkov, Geir Kjetil Sandve, Sai T. Reddy, Victor Greiff

Bioinform., 2020