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Satława, Tadeusz
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1

LAP: Liability Antibody Profiler by sequence & structural m..:

Satława, Tadeusz ; Tarkowski, Mateusz ; Wróbel, Sonia...
PLOS Computational Biology.  20 (2024)  3 - p. e1011881 , 2024
Link: https://doi.org/10.1371/..
 
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2

nanoBERT: a deep learning model for gene agnostic navigatio..:

Hadsund, Johannes Thorling ; Satława, Tadeusz ; Janusz, Bartosz...
Bioinformatics Advances.  4 (2024)  1 - p. , 2024
Link: https://doi.org/10.1093/..
 
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3

Benchmarking antibody clustering methods using sequence, st..:

Chomicz, Dawid ; Kończak, Jarosław ; Wróbel, Sonia...
Frontiers in Molecular Biosciences.  11 (2024)  - p. , 2024
Link: https://doi.org/10.3389/..
 
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4

Large-scale data mining of four billion human antibody vari..:

Dudzic, Pawel ; Chomicz, Dawid ; Kończak, Jarosław...
mAbs.  16 (2024)  1 - p. , 2024
Link: https://doi.org/10.1080/..
 
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5

Structural pre-training improves physical accuracy of antib..:

Kończak, Jarosław ; Janusz, Bartosz ; Młokosiewicz, Jakub...
ImmunoInformatics.  11 (2023)  - p. 100028 , 2023
Link: https://doi.org/10.1016/..
 
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6

Structural modeling of antibody variable regions using deep..:

Jaszczyszyn, Igor ; Bielska, Weronika ; Gawlowski, Tomasz...
Frontiers in Molecular Biosciences.  10 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
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7

Machine-designed biotherapeutics: opportunities, feasibilit..:

Wilman, Wiktoria ; Wróbel, Sonia ; Bielska, Weronika...
Briefings in Bioinformatics.  23 (2022)  4 - p. , 2022
Link: https://doi.org/10.1093/..
 
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8

Noninvasive Estimation of Mean Pulmonary Artery Pressure Us..:

, In: Computational Science – ICCS 2022; Lecture Notes in Computer Science,
Grzeszczyk, Michal K. ; Satława, Tadeusz ; Lungu, Angela... - p. 14-27 , 2022
Link: https://doi.org/10.1007/..
 
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9

Noninvasive Estimation of Mean Pulmonary Artery Pressure Us..:

Grzeszczyk, Michal K ; Satlawa, Tadeusz ; Lungu, Angela...
http://arxiv.org/abs/2312.14221.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Machine-designed biotherapeutics: opportunities, feasibilit..:

Wilman, Wiktoria ; Wróbel, Sonia ; Bielska, Weronika...
KF/215817.  , 2022
Link: http://hdl.handle.net/10..
 
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11

Number of unique sequences per dataset:

Tadeusz Satława ; Mateusz Tarkowski ; Sonia Wróbel...
doi:10.1371/journal.pcbi.1011881.t006.  , 2024
Link: https://doi.org/10.1371/..
 
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12

Per-sequence prevalence of liabilities:

Tadeusz Satława ; Mateusz Tarkowski ; Sonia Wróbel...
doi:10.1371/journal.pcbi.1011881.g002.  , 2024
Link: https://doi.org/10.1371/..
 
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13

The mean number of liabilities per sequence for each datase..:

Tadeusz Satława ; Mateusz Tarkowski ; Sonia Wróbel...
doi:10.1371/journal.pcbi.1011881.t002.  , 2024
Link: https://doi.org/10.1371/..
 
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14

Liability detection and low-risk flags:

Tadeusz Satława ; Mateusz Tarkowski ; Sonia Wróbel...
doi:10.1371/journal.pcbi.1011881.g006.  , 2024
Link: https://doi.org/10.1371/..
 
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15

Prevalence of specific sequence-based liabilities across ou..:

Tadeusz Satława ; Mateusz Tarkowski ; Sonia Wróbel...
doi:10.1371/journal.pcbi.1011881.g003.  , 2024
Link: https://doi.org/10.1371/..
 
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