G Schneider

发表

Spotting and designing promiscuous ligands for drug discovery.

P Schneider, M Röthlisberger, D Reker, 2016, Chemical communications.

De-orphaning the marine natural product (±)-marinopyrrole A by computational target prediction and biochemical validation.

P Schneider, G Schneider, G. Schneider, 2017, Chemical communications.

Multi-objective active machine learning rapidly improves structure–activity models and reveals new protein–protein interaction inhibitors† †Electronic supplementary information (ESI) available: Details about computational comparisons and all screening results. See DOI: 10.1039/c5sc04272k

P Schneider, D Reker, G Schneider, 2016, Chemical science.

H-BloX: visualizing alignment block entropies.

G Schneider, J Zuegge, M Ebeling, 2001, Journal of molecular graphics & modelling.

Artificial neural networks for computer-based molecular design.

G Schneider, P Wrede, G. Schneider, 1998, Progress in biophysics and molecular biology.

Characterisation of anticancer peptides at the single-cell level.

G Schneider, P S Dittrich, G. Schneider, 2017, Lab on a chip.

The rational design of amino acid sequences by artificial neural networks and simulated molecular evolution: de novo design of an idealized leader peptidase cleavage site.

G Schneider, P Wrede, G. Schneider, 1994, Biophysical journal.

Peptide design in machina: development of artificial mitochondrial protein precursor cleavage sites by simulated molecular evolution.

G Schneider, P Wrede, G. Schneider, 1995, Biophysical journal.

Structure optimization of an artificial neural filter detecting membrane-spanning amino acid sequences.

G Schneider, P Wrede, R. Lohmann, 1996, Biopolymers.

Self-organizing maps in drug discovery: compound library design, scaffold-hopping, repurposing.

P Schneider, G Schneider, G. Schneider, 2009, Current medicinal chemistry.

Robust molecular representations for modelling and design derived from atomic partial charges.

G Schneider, A R Finkelmann, A H Göller, 2016, Chemical communications.

Mapping of protein surface cavities and prediction of enzyme class by a self-organizing neural network.

G Schneider, C Taroni, M Stahl, 2000, Protein engineering.

Analysis of cleavage-site patterns in protein precursor sequences with a perceptron-type neural network.

G Schneider, P Wrede, G. Schneider, 1993, Biochemical and biophysical research communications.

Analysis and prediction of mitochondrial targeting peptides.

G von Heijne, G Schneider, G. Schneider, 2001, Methods in cell biology.