Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Andreas Christmann"'
Autor:
Jorge A. Lerma Romero, Christian Meyners, Andreas Christmann, Lisa M. Reinbold, Anna Charalampidou, Felix Hausch, Harald Kolmar
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
Protein dynamics have a great influence on the binding pockets of some therapeutic targets. Flexible protein binding sites can result in transient binding pocket formation which might have a negative impact on drug screening efforts. Here, we describ
Externí odkaz:
https://doaj.org/article/c24c05f623e04580bc234f8ff3bafcb8
Autor:
Sandra Oloketuyi, Robert Bernedo, Andreas Christmann, Justyna Borkowska, Giulia Cazzaniga, Horst Wilhelm Schuchmann, Joanna Niedziółka-Jönsson, Katarzyna Szot-Karpińska, Harald Kolmar, Ario de Marco
Publikováno v:
Biosensors, Vol 11, Iss 12, p 496 (2021)
C-reactive protein (CRP) is an inflammation biomarker that should be quantified accurately during infections and healing processes. Nanobodies are good candidates to replace conventional antibodies in immunodiagnostics due to their inexpensive produc
Externí odkaz:
https://doaj.org/article/a0d0d89b5196432ebcfb8f266fa9f8c9
Autor:
Bernhard Glotzbach, Michael Reinwarth, Niklas Weber, Sebastian Fabritz, Michael Tomaszowski, Heiko Fittler, Andreas Christmann, Olga Avrutina, Harald Kolmar
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e76956 (2013)
Cystine-knot miniproteins define a class of bioactive molecules with several thousand natural members. Their eponymous motif comprises a rigid structured core formed by six disulfide-connected cysteine residues, which accounts for its exceptional sta
Externí odkaz:
https://doaj.org/article/e0277680f4544d8b8b119a041f2ae449
Autor:
Muhammad Shahrur, Andreas Christmann
This book presents the work and ideas of the Syrian writer Muhammad Shahrur to the English-speaking world. Shahrur is at the moment the most innovative intellectual thinker in the Arab Middle East. Often described as the ‘Martin Luther of Islam,'he
Autor:
Patrick Gensler, Andreas Christmann
Publikováno v:
Artificial Intelligence, Big Data and Data Science in Statistics ISBN: 9783031071546
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e825e256b26c6fa247cc480380983118
https://doi.org/10.1007/978-3-031-07155-3_5
https://doi.org/10.1007/978-3-031-07155-3_5
Autor:
Andreas Christmann, Florian Dumpert
Publikováno v:
Neurocomputing. 315:96-106
The massive amount of available data potentially used to discover patterns in machine learning is a challenge for kernel based algorithms with respect to runtime and storage capacities. Local approaches might help to relieve these issues. From a stat
Autor:
Sebastian Bitsch, Lukas Deweid, Olga Avrutina, Hans-Lothar Fuchsbauer, Andreas Christmann, Harald Kolmar, Lara Neureiter, Hendrik Schneider, Desislava Yanakieva, Janna Sturm, Simon Englert, Jakob Deweid
Publikováno v:
Chemistry – A European Journal. 24:15195-15200
Microbial transglutaminase from Streptomyces mobaraensis (mTG) has emerged as a useful biotechnological tool due to its ability to crosslink a side chain of glutamine and primary amines. To date, the substrate specificity of mTG is not fully understo
Publikováno v:
Neurocomputing. 289:101-118
Regularized empirical risk minimization using kernels and their corresponding reproducing kernel Hilbert spaces (RKHSs) plays an important role in machine learning. However, the actually used kernel often depends on one or on a few hyperparameters or
Publikováno v:
Analysis and Applications. 14:795-808
Statistical machine learning plays an important role in modern statistics and computer science. One main goal of statistical machine learning is to provide universally consistent algorithms, i.e. the estimator converges in probability or in some stro
Autor:
Ding-Xuan Zhou, Andreas Christmann
Publikováno v:
Analysis and Applications. 14:449-477
Additive models play an important role in semiparametric statistics. This paper gives learning rates for regularized kernel-based methods for additive models. These learning rates compare favorably in particular in high dimensions to recent results o