ABSTRACT
Nicotinic acetylcholine receptors (nAChRs) comprise a large and ancient family of allosteric ion channels mediating synaptic transmission. The vast knowledge about nAChRs has become difficult to navigate. NAChRDB is a web-accessible resource of curated residue-level functional annotations of neuromuscular nAChRs. Interactive three-dimensional (3D) visualization and sequence alignment give further context to this rich and growing collection of experimental observations and computational predictions. NAChRDB is freely available at https://crocodile.ncbr.muni.cz/Apps/NAChRDB/, with interactive tutorials and regular updates to the content and web interface. No installation or user registration is required. NAChRDB is accessible through any modern internet browser on desktops and mobile devices. By providing immediate and systematic access to practical knowledge gained through decades of research, NAChRDB represents a powerful educational tool and helps guide discovery by revealing gaps in current knowledge and aiding the interpretation of results of molecular and structural biology experiments or computational studies.
ABSTRACT
SUMMARY: CrocoBLAST is a tool for dramatically speeding up BLAST+ execution on any computer. Alignments that would take days or weeks with NCBI BLAST+ can be run overnight with CrocoBLAST. Additionally, CrocoBLAST provides features critical for NGS data analysis, including: results identical to those of BLAST+; compatibility with any BLAST+ version; real-time information regarding calculation progress and remaining run time; access to partial alignment results; queueing, pausing, and resuming BLAST+ calculations without information loss. AVAILABILITY AND IMPLEMENTATION: CrocoBLAST is freely available online, with ample documentation (webchem.ncbr.muni.cz/Platform/App/CrocoBLAST). No installation or user registration is required. CrocoBLAST is implemented in C, while the graphical user interface is implemented in Java. CrocoBLAST is supported under Linux and Windows, and can be run under Mac OS X in a Linux virtual machine. CONTACT: jkoca@ceitec.cz. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
