PDB glossary for three letter codes

Question

[noodle]

Can someone point me to a glossary of all three letter codes one might encounter in a .cif file for RNA and DNA?

There are some standard ones, as outlined in the cif dictionary but there are many more I can find...

Answer 1

[noodle]

In case someone comes back to this, below is something in R that works;

system("wget http://ligand-expo.rcsb.org/dictionaries/Components-pub.cif")

cif.ref.path <- paste0(getwd(), "/Components-pub.cif")

cif.ref.data <- readLines(cif.ref.path)


data.grep <- grep("data_", cif.ref.data)

all.data <- c()
for(i in 1:(length(data.grep)-1)){
  this.cif <- cif.ref.data[data.grep[i]:data.grep[i+1]]

  this.chem_comp.id <- strsplit(this.cif[grep("_chem_comp.id", this.cif)], " ")[[1]]
  this.chem_comp.id.take <- this.chem_comp.id[length(this.chem_comp.id)]

  this.chem_comp.name <- strsplit(this.cif[grep("_chem_comp.name", this.cif)], " ")[[1]]
  this.chem_comp.name.1 <- this.chem_comp.name[2:length(this.chem_comp.name)]
  this.chem_comp.name.2 <- this.chem_comp.name.1[which(this.chem_comp.name.1 != "")]
  this.chem_comp.name.3 <- str_remove_all(this.chem_comp.name.2, '\"')
  this.chem_comp.name.take <- paste0(this.chem_comp.name.3, collapse = " ")

  this.chem_comp.type <- strsplit(this.cif[grep("_chem_comp.type", this.cif)], " ")[[1]]
  this.chem_comp.type.1 <- this.chem_comp.type[2:length(this.chem_comp.type)]
  this.chem_comp.type.2 <- this.chem_comp.type.1[which(this.chem_comp.type.1 != "")]
  this.chem_comp.type.3 <- str_remove_all(this.chem_comp.type.2, '\"')
  this.chem_comp.type.take <- paste0(this.chem_comp.type.3, collapse = " ")

  this.chem_comp.pdbx_type <- strsplit(this.cif[grep("_chem_comp.pdbx_type", this.cif)], " ")[[1]]
  this.chem_comp.pdbx_type.take <- this.chem_comp.pdbx_type[length(this.chem_comp.pdbx_type)]

  this.data <- cbind(this.chem_comp.id.take, this.chem_comp.name.take, this.chem_comp.type.take, this.chem_comp.pdbx_type.take)
  all.data <- rbind(all.data, this.data)
}


all.data.df <- data.frame(all.data)
colnames(all.data.df) <- c("chem_comp.id", "chem_comp.name", "chem_comp.type", "chem_comp.pdbx_type")