Protein Secondary Sequence
ccPDB - Dataset for prediction protein secondary structure
@kaggle.tamzidhasan_protein_secondary_sequence
ccPDB - Dataset for prediction protein secondary structure
@kaggle.tamzidhasan_protein_secondary_sequence
# Introduction
Protein secondary structure can be calculated based on its atoms' 3D coordinates once the protein's 3D structure is solved using X-ray crystallography or NMR. Commonly, DSSP is the tool used for calculating the secondary structure and assigns one of the following secondary structure types (https://swift.cmbi.umcn.nl/gv/dssp/index.html) to every amino acid in a protein:
However, X-ray or NMR is expensive. Ideally, we would like to predict the secondary structure of a protein based on its primary sequence directly, which has had a long history.
The main dataset lists peptide sequences and their corresponding secondary structures.
Description of columns:
DSSP8 is a secondary structure datasets with Eight states (H,B,E,G,I,T,S,C). There are 5877 Non-Redundant chains (25%). This dataset was created by DSSP & PDB_select . Three state :[H=(G,H,I); E=(B,E); C=(T,S,C)]
The link of dataset - PDB - 31-03-2018
The site link is ccPDB(compilation and creation of datasets from PDB)
CREATE TABLE pdb_31_07_2011 (
"unnamed_0" BIGINT -- Unnamed: 0,
"pdb_id" VARCHAR,
"seq" VARCHAR,
"sst3" VARCHAR,
"sst8" VARCHAR
);
CREATE TABLE pdb_31_12_2012 (
"unnamed_0" BIGINT -- Unnamed: 0,
"pdb_id" VARCHAR,
"seq" VARCHAR,
"sst3" VARCHAR,
"sst8" VARCHAR
);
Anyone who has the link will be able to view this.