Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Stefan Holderbach"'
Autor:
Julia Fakhiri, Marc A. Schneider, Jens Puschhof, Megan Stanifer, Verena Schildgen, Stefan Holderbach, Yannik Voss, Jihad El Andari, Oliver Schildgen, Steeve Boulant, Michael Meister, Hans Clevers, Ziying Yan, Jianming Qiu, Dirk Grimm
Publikováno v:
Molecular Therapy: Methods & Clinical Development, Vol 12, Iss , Pp 202-222 (2019)
Parvoviruses are highly attractive templates for the engineering of safe, efficient, and specific gene therapy vectors, as best exemplified by adeno-associated virus (AAV). Another candidate that currently garners increasing attention is human bocavi
Externí odkaz:
https://doaj.org/article/7fbe1a7cee86481baac8bf16199ef869
RASPD+: Fast Protein-Ligand Binding Free Energy Prediction Using Simplified Physicochemical Features
Publikováno v:
Frontiers in Molecular Biosciences, Vol 7 (2020)
The virtual screening of large numbers of compounds against target protein binding sites has become an integral component of drug discovery workflows. This screening is often done by computationally docking ligands into a protein binding site of inte
Externí odkaz:
https://doaj.org/article/3437442001cb425883ab6d952067e277
Autor:
Laura von Soosten, Janina Haar, Veronika Frehtman, Stefan Holderbach, Julius Upmeier zu Belzen, Michael Jendrusch, Konstantin Okonechnikov, Stefan M Pfister, Dirk Grimm, Barbara Leuchs, David Jones, Lena M Kutscher, Marc Zuckermann
Publikováno v:
Neuro-Oncology. 24:i185-i186
Pediatric high-grade glioma is a heterogeneous group of highly malignant tumors of the central nervous system, with a median overall survival of less than two years after diagnosis, demanding novel treatment options. One innovative approach is gene t
Autor:
Daniel Heid, Dominik Niopek, Max C. Waldhauer, Irina Lehmann, Moritz Jakob Przybilla, Pauline L. Pfuderer, Roland Eils, Thore Bürgel, Catharina Gandor, Marita Klein, Mareike D. Hoffmann, Carolin Schmelas, Felix Bubeck, Julius Upmeier zu Belzen, Lukas Platz, Jan Mathony, Lukas Adam, Stefan Holderbach, Max Schwendemann, Michael Jendrusch
Publikováno v:
Nature Machine Intelligence. 1:225-235
Proteins are nature’s most versatile molecular machines. Deep neural networks trained on large protein datasets have recently been used to tackle the unmet complexity of protein sequence–function relationships. The implicit knowledge contained in
Autor:
Megan L. Stanifer, Hans Clevers, Steeve Boulant, Dirk Grimm, Jianming Qiu, Oliver Schildgen, Jens Puschhof, Stefan Holderbach, Verena Schildgen, Michael Meister, Julia Fakhiri, Marc A. Schneider, Ziying Yan, Jihad El Andari, Yannik Voss
Publikováno v:
Molecular Therapy: Methods & Clinical Development, Vol 12, Iss, Pp 202-222 (2019)
Molecular Therapy. Methods & Clinical Development
Molecular therapy. Methods & clinical development, 12, 202-222. Nature Publishing Group
Molecular Therapy. Methods & Clinical Development
Molecular therapy. Methods & clinical development, 12, 202-222. Nature Publishing Group
Parvoviruses are highly attractive templates for the engineering of safe, efficient, and specific gene therapy vectors, as best exemplified by adeno-associated virus (AAV). Another candidate that currently garners increasing attention is human bocavi
Autor:
Dominik Niopek, Irina Lehmann, Catharina Gandor, Pauline L. Pfuderer, Max Schwendemann, Max C. Waldhauer, Lukas Adam, Moritz Jakob Przybilla, Jan Mathony, Julius Upmeier zu Belzen, Stefan Holderbach, Mareike D. Hoffmann, Lukas Platz, Carolin Schmelas, Felix Bubeck, Marita Klein, Roland Eils, Thore Bürgel, Daniel Heid, Michael Jendrusch
Publikováno v:
Nature Machine Intelligence. 1:290-290