A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding von Akbar, Rahmad, Robert, Philippe A., Pavlović, Milena, Jeliazkov, Jeliazko R., Snapkov, Igor, Slabodkin, Andrei, Weber, Cédric R., Scheffer, Lonneke, Miho, Enkelejda, Haff, Ingrid Hobæk, Haug, Dag Trygve Tryslew, Lund-Johansen, Fridtjof, Safonova, Yana, Sandve, Geir K., Greiff, Victor

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Predictability of antigen binding based on short motifs in the antibody CDRH3 von Scheffer, Lonneke, Reber, Eric Emanuel, Mehta, Brij Bhushan, Pavlović, Milena, Chernigovskaya, Maria, Richardson, Eve, Akbar, Rahmad, Lund-Johansen, Fridtjof, Greiff, Victor, Haff, Ingrid Hobæk, Sandve, Geir Kjetil

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Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies von Akbar, Rahmad, Bashour, Habib, Rawat, Puneet, Robert, Philippe A., Smorodina, Eva, Cotet, Tudor-Stefan, Flem-Karlsen, Karine, Frank, Robert, Mehta, Brij Bhushan, Vu, Mai Ha, Zengin, Talip, Gutierrez-Marcos, Jose, Lund-Johansen, Fridtjof, Andersen, Jan Terje, Greiff, Victor

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Individualized VDJ recombination predisposes the available Ig sequence space von Slabodkin, Andrei, Chernigovskaya, Maria, Mikocziova, Ivana, Akbar, Rahmad, Scheffer, Lonneke, Pavlovic, Milena, Bashour, Habib, Snapkov, Igor, Mehta, Brij Bhushan, Weber, Cedric R., Gutierrez-Marcos, Jose, Sollid, Ludvig M., Haff, Ingrid Hobaek, Sandve, Geir Kjetil, Robert, Philippe A., Greiff, Victor

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In silico proof of principle of machine learning-based antibody design at unconstrained scale von Akbar, Rahmad, Robert, Philippe A, Weber, Cédric R, Widrich, Michael, Frank, Robert, Pavlović, Milena, Scheffer, Lonneke, Chernigovskaya, Maria, Snapkov, Igor, Slabodkin, Andrei, Mehta, Brij Bhushan, Miho, Enkelejda, Lund-Johansen, Fridtjof, Andersen, Jan Terje, Hochreiter, Sepp, Hobæk Haff, Ingrid, Klambauer, Günter, Sandve, Geir Kjetil, Greiff, Victor

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Corrigendum: Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence von Federico, Lorenzo, Malone, Brandon, Tennøe, Simen, Chaban, Viktoriia, Osen, Julie Røkke, Gainullin, Murat, Smorodina, Eva, Kared, Hassen, Akbar, Rahmad, Greiff, Victor, Stratford, Richard, Clancy, Trevor, Munthe, Ludvig Andre

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Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence von Federico, Lorenzo, Malone, Brandon, Tennøe, Simen, Chaban, Viktoriia, Osen, Julie Røkke, Gainullin, Murat, Smorodina, Eva, Kared, Hassen, Akbar, Rahmad, Greiff, Victor, Stratford, Richard, Clancy, Trevor, Munthe, Ludvig Andre

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Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires von Brown, Alex J, Snapkov, Igor, Akbar, Rahmad, Pavlovi, Milena, Miho, Enkelejda, Sandve, Geir K, Greiff, Victor

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Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability von Bashour, Habib, Smorodina, Eva, Pariset, Matteo, Zhong, Jahn, Akbar, Rahmad, Chernigovskaya, Maria, Lê Quý, Khang, Snapkow, Igor, Rawat, Puneet, Krawczyk, Konrad, Sandve, Geir Kjetil, Gutierrez-Marcos, Jose, Gutierrez, Daniel Nakhaee-Zadeh, Andersen, Jan Terje, Greiff, Victor

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ALLO: A tool to discriminate and prioritize allosteric pockets von Akbar, Rahmad, Helms, Volkhard

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Evaluation of the nutritional quality of fermented cultivated Patin Surimi (Pangasius sutchi) with various salt concentration and fermentation time von Hustiany, Rini, Akbar, Arief Rahmad Maulana, Hajar, Siti

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Stability, orientation and position preference of the stem region (residues 689-703) in Hepatitis C Virus (HCV) envelope glycoprotein E2: a molecular dynamics study [version 2; pee... von Akbar, Rahmad, Jusoh, Siti Azma

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Investigation on the Optimal Harvesting Time of Oil Palm Fruit von Akbar, Arief Rahmad Maulana, Wibowo, Alan Dwi, Santoso, Redi

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Progress and challenges for the application of machine learning for neglected tropical diseases [version 1; peer review: 1 approved] von Khew, ChungYuen, Akbar, Rahmad, Mohd-Assaad, Norfarhan

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immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking von Weber, Cédric R, Akbar, Rahmad, Yermanos, Alexander, Pavlović, Milena, Snapkov, Igor, Sandve, Geir K, Reddy, Sai T, Greiff, Victor

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Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database von Al-Khdhairawi, Ahmad, Sanuri, Danish, Akbar, Rahmad, Lam, Su Datt, Sugumar, Shobana, Ibrahim, Nazlina, Chieng, Sylvia, Sairi, Fareed

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PENGELOLAAN INFORMASI PENYELENGGARAAN CONFERENCE TERPADU DI UIN AR-RANIRY BANDA ACEH DENGAN APLIKASI OPEN CONFERENCE SYSTEM (OCS) von Ade Akbar, Rahmad, Yusuf, Bustami, Mailany, Masrura

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Interorganelle Tethering to Endocytic Organelles Determines Directional Cytokine Transport in CD4(+) T Cells von Zhou, Yan, Zhao, Renping, Schwarz, Eva C., Akbar, Rahmad, Kaba, Mayis, Pattu, Varsha, Helms, Volkhard, Rieger, Heiko, Nunes-Hasler, Paula, Bin Qu

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Linguistically inspired roadmap for building biologically reliable protein language models von Mai Ha Vu, Rahmad Akbar, Robert, Philippe A, Swiatczak, Bartlomiej, Greiff, Victor, Sandve, Geir Kjetil, Dag Trygve Truslew Haug

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Linguistically inspired roadmap for building biologically reliable protein language models von Vu, Mai Ha, Akbar, Rahmad, Robert, Philippe A., Swiatczak, Bartlomiej, Sandve, Geir Kjetil, Greiff, Victor, Haug, Dag Trygve Truslew

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