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Posters to Download |
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| Engineering Quality in Biopharmaceuticals, Re-designing Antibodies with Reduced Aggregation |
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| Assessing the Risk of “Unwanted” Immunogenicity Using Combined In Silico and In Vitro Tools |
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Published Reference Material |
| • Stas Ph, Gansemans Y, Lasters I.
Immunogenicity Assessment of Antibody Therapeutics
Current Trends in Monoclonal Antibody Development and Manufacturing
Springer AAPS 2010, p.271-291.
• Stas Ph, Lasters I.
Immunogénicité de proteins d’intérêt thérapeutique
Medecine Sciences 2009; 25(12): 1070-1077.
• Bancos S, Cao Q, Bowers W, Crispe N.
Dysfunctional memory CD8+ T cells after priming in the absence of the cell cycle regulator E2F4
Cell Immunol 2009; 257(1-2):44-54.
• Stas Ph, Pletinckx J, Gansemans Y, Lasters I.
Immunogenicity Assessment of Antibody Therapeutics
Recombinant Antibodies for Immunotherapy, edt. M. Little
Cambridge University Press 2009, p.20-42.
• Stas Ph, Lasters I.
Strategies for preclinical immunogenicity assessment of
protein therapeutics.
IDrugs 2009; 12(3):169-173.
• Throsby M, van den Brink E, Jongeneelen M, Poon L, Alard P,
Cornelissen L, Bakker A, Cox F, van Deventer E, Guan Y, Cinatl J, ter Meulen J, Lasters I, Carsetti R, Peiris M, de Kruif J a, Goudsmit J.
Heterosubtypic Neutralizing Monoclonal Antibodies
Cross-Protective against H5N1 and H1N1 Recovered from
Human IgM+ Memory B Cells.
PlosOne 2008; 3(12):e3942,1-15.
• Barderas R, Desmet J, Timmerman P, Meloen R, and Casal I.
Affinity maturation of antibodies assisted by in silico modeling.
PNAS 2008; 105:9029-34
• Van Walle I, Gansemans Y, Parren P, Stas Ph, Lasters L.
Immunogenicity screening in protein drug development.
Expert Opin Biol Ther. 2007; 7:405-18.
• Fontayne A, Vanhoorelbeke K, Pareyn I, Van Rompaey I, Meiring M, Lamprecht S, Roodt J, Desmet J, Deckmyn H.
Rational humanization of the powerful antithrombotic anti-GPIbalpha antibody: 6B4.
Thromb Haemost. 2006; 96:671-84.
• Staelens S, Desmet J, Ngo T, Vauterin S, Pareyn I, Barbeaux P, Van Rompaey I, Stassen J, Deckmyn H, Vanhorelbeke K.
Humanization by variable domain resurfacing and grafting on a human IgG4, using a new approach for determination of non-human like surface accessible framework residues based on homology modelling of variable domains.
Mol Immunol. 2006; 43:1243-57.
• Desmet J, Meersseman G, Boutonnet N, Pletinckx J, De Clercq K, Debulpaep M, Braeckman T, Lasters I.
Anchor profiles of HLA-specific peptides: analysis by a novel affinity scoring method and experimental validation.
Proteins. 2005; 58:53-69.
• Van Walle I, Lasters I, Wyns L.
Align-m–a new algorithm for multiple alignment of highly divergent sequences.
Bioinformatics. 2004, 20:1428–35.
• Van Walle I, Lasters I, Wyns L.
Consistency matrices: quantified structure alignments for sets of related proteins
Proteins. 2003, 51:1–9.
• Boutonnet N, Janssens W, Boutton C, Verschelde JL, Heyndrickx L, Beirnaert E, van der Groen G, Lasters I.
Comparison of predicted scaffold-compatible sequence variation in the triple-hairpin structure of human immunodeficiency virus type 1 gp41 with patient data.
J Virol. 2002; 76:7595-606.
• Desmet J, Spriet J, Lasters I.
Fast and accurate side-chain topology and energy refinement (FASTER) as a new method for protein structure optimization.
Proteins. 2002; 48:31-43.
• van den Beucken T, van Neer N, Sablon E, Desmet J, Celis L, Hoogenboom HR, Hufton SE.
Building novel binding ligands to B7.1 and B7.2 based on human antibody single variable light chain domains.
J Mol Biol. 2001; 310:591-601.
• Boutonnet N, Van Belle D, Wodak S.
Infuence of ligand binding on the conformation of ligand of torpedo acetylcholinesterase.
Theor Chem Acc. 2001; 106:10-21.
• Desmet J, De Maeyer M, Spriet J, Lasters I.
Flexible docking of peptide ligands to proteins.
Methods Mol Biol. 2000; 143:359-76.
• De Maeyer M, Desmet J, Lasters I.
The dead-end elimination theorem: mathematical aspects, implementation, optimizations, evaluation, and performance.
Methods Mol Biol. 2000; 143:265-304.
• Hufton SE, van Neer N, van den Beucken T, Desmet J, Sablon E, Hoogenboom HR.
Development and application of cytotoxic T lymphocyte-associated antigen 4 as a protein scaffold for the generation of novel binding ligands.
FEBS Lett. 2000; 475:225-231.
• Boutonnet N, Kajava A, Rooman M.
Structural classification of a and b supersecondary structure units in proteins.
Proteins. 1998; 30:193-212.
• Desmet J, Wilson IA, Joniau M, De Maeyer M, Lasters I.
Computation of the binding of fully flexible peptides to proteins with flexible side-chains.
FASEB J. 1997; 11:164-172.
• De Maeyer M, Desmet J, Lasters I.
All in one: a highly detailed rotamer library improves both accuracy and speed in the modeling of side-chains by dead-end elimination.
Folding Des. 1997; 2:53-66.
• Lasters I, Desmet J, De Maeyer M.
Dead-end based modeling tools to explore the sequence space that is compatible with a given scaffold.
J Protein Chem. 1997; 16:449-452.
• Desmet J, De Maeyer M, Lasters I.
Theoretical and algorithmical optimization of the dead-end elimination theorem.
in 'Proceedings of the Pacific Symposium on Biocomputing 1997' (1997) Altman RB, Dunker AK, Hunter L, Klein TE. (eds.) World Scientific, Singapore, pp. 122-133.
• Lasters I, De Maeyer M, Desmet, J.
Enhanced dead-end elimination in the search for the global minimum energy conformation of a collection of proteins side chains.
Protein Eng. 1995; 8:815-822.
• Boutonnet N, Rooman M, Wodak S.
Automatic analysis of protein conformational changes of by multiple linkage clustering.
J Mol Biol. 1995; 253:633-647.
• Boutonnet N, Rooman M, Ochagavia ME, Richelle J, Wodak S.
Optimal protein structure alignments by multiple linkage clustering: application to distantly related proteins.
Protein Eng. 1995; 8:647-662.
• Desmet J, De Maeyer M, Lasters I.
The 'dead end elimination' theorem as a new approach to the side-chain packing problem.
in 'The Protein Folding Problem and Tertiary Structure Prediction' (1994) Merz K, LeGrand S. (eds.) Birkhäuser Boston, Inc., pp. 307-337.
• Lasters I, Desmet J.
The fuzzy-end elimination theorem: correctly implementing the side-chain placement algorithm based on the dead-end elimination theorem.
Protein Eng. 1993; 6:717-722.
• Desmet J, De Maeyer M, Hazes B, Lasters I.
The dead end elimination theorem and its use in protein side-chain positioning.
Nature 1992; 356:539-542 |
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