From 3d0dca82c46d97dd0653a73b2b021d29dde1832f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mat=C3=BA=C5=A1=20Kala=C5=A1?= Date: Tue, 28 Mar 2023 15:25:07 +0200 Subject: [PATCH] Delete data/p.r.e.s.s. directory --- data/p.r.e.s.s./p.r.e.s.s..json | 124 ------------ data/p.r.e.s.s./p.r.e.s.s..oeb.metrics.json | 203 -------------------- 2 files changed, 327 deletions(-) delete mode 100644 data/p.r.e.s.s./p.r.e.s.s..json delete mode 100644 data/p.r.e.s.s./p.r.e.s.s..oeb.metrics.json diff --git a/data/p.r.e.s.s./p.r.e.s.s..json b/data/p.r.e.s.s./p.r.e.s.s..json deleted file mode 100644 index 295917ec5e0ab..0000000000000 --- a/data/p.r.e.s.s./p.r.e.s.s..json +++ /dev/null @@ -1,124 +0,0 @@ -{ - "name": "P.R.E.S.S.", - "description": "P.R.E.S.S. 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A large set of high-resolution protein structures is downloaded and surveyed. Their residue-level structural properties are calculated and documented. The statistical distributions and correlations of these properties can be queried and displayed. Tools are also provided for modeling and analyzing a given structure in terms of its residue-level structural properties. In particular, new tools for computing residue-level statistical potentials and displaying residue-level Ramachandran-like plots are developed for structural analysis and refinement. P.R.E.S.S. has been released in R as an open source software package, with a user-friendly GUI, accessible and executable by a public user in any R environment. 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