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2021 4
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2023 2
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In silico proof of principle of machine learning-based antibody design at unconstrained scale.
Akbar R, Robert PA, Weber CR, Widrich M, Frank R, Pavlović M, Scheffer L, Chernigovskaya M, Snapkov I, Slabodkin A, Mehta BB, Miho E, Lund-Johansen F, Andersen JT, Hochreiter S, Hobæk Haff I, Klambauer G, Sandve GK, Greiff V. Akbar R, et al. Among authors: chernigovskaya m. MAbs. 2022 Jan-Dec;14(1):2031482. doi: 10.1080/19420862.2022.2031482. MAbs. 2022. PMID: 35377271 Free PMC article.
Individualized VDJ recombination predisposes the available Ig sequence space.
Slabodkin A, Chernigovskaya M, Mikocziova I, Akbar R, Scheffer L, Pavlović M, Bashour H, Snapkov I, Mehta BB, Weber CR, Gutierrez-Marcos J, Sollid LM, Haff IH, Sandve GK, Robert PA, Greiff V. Slabodkin A, et al. Among authors: chernigovskaya m. Genome Res. 2021 Dec;31(12):2209-2224. doi: 10.1101/gr.275373.121. Epub 2021 Nov 23. Genome Res. 2021. PMID: 34815307 Free PMC article.
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.
Robert PA, Akbar R, Frank R, Pavlović M, Widrich M, Snapkov I, Slabodkin A, Chernigovskaya M, Scheffer L, Smorodina E, Rawat P, Mehta BB, Vu MH, Mathisen IF, Prósz A, Abram K, Olar A, Miho E, Haug DTT, Lund-Johansen F, Hochreiter S, Haff IH, Klambauer G, Sandve GK, Greiff V. Robert PA, et al. Among authors: chernigovskaya m. Nat Comput Sci. 2022 Dec;2(12):845-865. doi: 10.1038/s43588-022-00372-4. Epub 2022 Dec 19. Nat Comput Sci. 2022. PMID: 38177393
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.
Pavlović M, Scheffer L, Motwani K, Kanduri C, Kompova R, Vazov N, Waagan K, Bernal FLM, Costa AA, Corrie B, Akbar R, Al Hajj GS, Balaban G, Brusko TM, Chernigovskaya M, Christley S, Cowell LG, Frank R, Grytten I, Gundersen S, Haff IH, Hovig E, Hsieh PH, Klambauer G, Kuijjer ML, Lund-Andersen C, Martini A, Minotto T, Pensar J, Rand K, Riccardi E, Robert PA, Rocha A, Slabodkin A, Snapkov I, Sollid LM, Titov D, Weber CR, Widrich M, Yaari G, Greiff V, Sandve GK. Pavlović M, et al. Among authors: chernigovskaya m. Nat Mach Intell. 2021 Nov;3(11):936-944. doi: 10.1038/s42256-021-00413-z. Epub 2021 Nov 16. Nat Mach Intell. 2021. PMID: 37396030 Free PMC article.
TCR repertoire diversity in Multiple Sclerosis: High-dimensional bioinformatics analysis of sequences from brain, cerebrospinal fluid and peripheral blood.
Amoriello R, Chernigovskaya M, Greiff V, Carnasciali A, Massacesi L, Barilaro A, Repice AM, Biagioli T, Aldinucci A, Muraro PA, Laplaud DA, Lossius A, Ballerini C. Amoriello R, et al. Among authors: chernigovskaya m. EBioMedicine. 2021 Jun;68:103429. doi: 10.1016/j.ebiom.2021.103429. Epub 2021 Jun 11. EBioMedicine. 2021. PMID: 34127432 Free PMC article.
Application and challenges of TCR and BCR sequencing to investigate T- and B-cell clonality in elastase-induced experimental murine abdominal aortic aneurysm.
Elster C, Ommer-Bläsius M, Lang A, Vajen T, Pfeiler S, Feige M, Yau Pang T, Böttenberg M, Verheyen S, Lê Quý K, Chernigovskaya M, Kelm M, Winkels H, Schmidt SV, Greiff V, Gerdes N. Elster C, et al. Among authors: chernigovskaya m. Front Cardiovasc Med. 2023 Nov 14;10:1221620. doi: 10.3389/fcvm.2023.1221620. eCollection 2023. Front Cardiovasc Med. 2023. PMID: 38034381 Free PMC article.