From 279c07870f5378af220a6c12684b4dddbf3186f5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Martin=20V=C3=B6gele?= Date: Thu, 26 Aug 2021 00:29:00 -0700 Subject: [PATCH] Update README.md --- README.md | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 4cbd326..2cd70fd 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,10 @@ # GPCR-mining -Functions to scrape GPCR data from the web. +Functions to scrape data about G protein-coupled receptors (GPCRs) from the web. -The [__GPCRdb__](https://gpcrdb.org) provides a comprehensive overview for the sequence of a GPCR, including definitions of transmembrane helices and generic residue numbering. +The [__GPCRdb__](https://gpcrdb.org) provides a comprehensive overview for sequence information about a GPCR, including definitions of transmembrane helices and generic residue numbering. Looking up a large number of residues or including the conversion for a specific receptor into an automated workflow can become tedious. Here we provide code to download and display this data. + ## Installation You can install the latest release of the python package via pip @@ -16,8 +17,6 @@ or an editable installation from this repository cd GPCR-mining pip install -e . -See below for an explanation on how to run GPCR-mining functions within Python code or the main script from the command line. - ## Run within Python code @@ -108,5 +107,3 @@ prints the numbers in a format that can be directly copied into a DrorMD conditi 'R6.24x24': 'segid P0 P1 and resid 313' 'A6.27x27': 'segid P0 P1 and resid 316' 'P6.50x50': 'segid P0 P1 and resid 339' - -