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Hildebrand, P.-W.

Publications and source records attributed to Hildebrand, P.-W..

2 recordsLinked to original sources

MutationExplorer - a webserver for mutation of proteins and 3D visualization of energetic impacts

AO_SCPLOWBSTRACTC_SCPLOWThe possible effects of mutations on stability and function of a protein can only be understood in the context of protein 3D structure. The MO_SCPLOWUTATIONC_SCPLOWEO_SCPLOWXPLORERC_SCPLOW webserver maps sequence changes onto protein structures and allows users to study variation by inputting sequence changes. As the user enters variants, the 3D model evolves, and estimated changes in energy are highlighted. In addition to a basic per-residue input format, MO_SCPLOWUTATIONC_SCPLOWEO_SCPLOWXPLORERC_SCPLOW can also upload an entire replacement sequence. Previously the purview of desktop applications, such an upload can back-mutate PDB structures to wildtype sequence in a single step. Another supported variation source is human single nucelotide polymorphisms (SNPs), genomic coordinates input in VCF format. Structures are flexibly colorable, not only by energetic differences, but also by hydrophobicity, sequence conservation, or other biochemical profiling. Coloring by interface score reveals mutation impacts on binding surfaces. MO_SCPLOWUTATIONC_SCPLOWEO_SCPLOWXPLORERC_SCPLOW strives for efficiency in user experience. For example, we have prepared 45,000 PDB depositions for instant retrieval and initial display. All modeling steps are performed by Rosetta. Visualizations leverage MDsrv/Mol*. MO_SCPLOWUTATIONC_SCPLOWEO_SCPLOWXPLORERC_SCPLOW is available at: http://proteinformatics.org/mutation_explorer/

bioinformatics↗

mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data

We present mdciao, an open-source command line tool and Python Application-Programmers-Interface (API) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. Building upon the widely used concept of residue-residue contact-frequencies, mdciao offers a wide spectrum of further analysis and representations, enriched with domain specific annotations when possible. It tries offer a user-friendly interface, which simplifies most decisions for non-expert users, while keeping customizability for expert ones. Emphasis has been put into automatically producing annotated, paper-ready figures and tables. Furthermore, seamless on-the-fly query and inclusion of consensus nomenclatures for GPCR, G-proteins, and kinases is made possible through the respective online databases, which allows for bulk selection and comparison across different systems. Finally, the fully documented Python API allows users to include the basic or advanced mdciao functions in their analysis workflows, and provides numerous examples and Jupyter Notebook Tutorials. The source code is published under the GNU Lesser General Public License v3.0 or later and hosted on https://github.com/gph82/mdciao.

bioinformatics↗