In the past decade, convolutional neural networks (CNNs) have been used as powerful tools by scientists to solve visual data tasks. However, many efforts of convolutional neural networks in solving protein function prediction and extracting useful in...
Proceedings of the National Academy of Sciences of the United States of America
Sep 28, 2021
Habituation and sensitization (nonassociative learning) are among the most fundamental forms of learning and memory behavior present in organisms that enable adaptation and learning in dynamic environments. Emulating such features of intelligence fou...
MOTIVATION: The correct identification of ligands in crystal structures of protein complexes is the cornerstone of structure-guided drug design. However, cognitive bias can sometimes mislead investigators into modeling fictitious compounds without so...
Journal of chemical information and modeling
Mar 26, 2018
Parametrization of small organic molecules for classical molecular dynamics simulations is not trivial. The vastness of the chemical space makes approaches using building blocks challenging. The most common approach is therefore an individual paramet...
Although there have been impressive strides in detector development for time-of-flight positron emission tomography, most detectors still make use of simple signal processing methods to extract the time-of-flight information from the detector signals...
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Oct 1, 2015
We modified a commercially available synthesis module for nucleophilic [(18)F]fluorinations (TRACERlab(TM) FXFDG, GE Healthcare) to enable the reliable synthesis of 2-[(18)F]fluoro-4-borono-L-phenylalanine ([(18)F]FBPA) via direct electrophilic subst...