It dramatically improves the performance of substructure searches for databases containing SMILES, with multiple components.
SYNOPSIS: fingerprint [-b minbits] [-c maxsize] [-d dens] [-id fpid] [-t TAG] [-x] [-z] [-m [-mb minbits] [-mt TAG] [-md dens] [-mz] [-f path] [-s minstep/maxstep ] [ in.tdt [ out.tdt ] ] in.tdt ....... .tdt file contining $SMI data (default: stdin) out.tdt ...... .tdt file with $FPG and FP data added (default: stdout) standard options: -b minbits .. minimum fingerprint size allowed, bits (default: 64) -c maxbits .. creation size of fingerprint, bits (default: 2048) -d dens ..... density below which fingerprints are folded (default: 0.3) -s min/max .. Compute bits for pathlength in this range (default: 0/7) -id fpid .... identify this run by `fpid' -t TAG ...... use `TAG' instead of `FP' for fingerprint dataitems -x .......... generate difference fingerprints -z .......... zap existing FP and $FPG data options for mixtures: -m .......... generate fingerprints for mixture components ("parts") -mb ......... minimum fingerprint size allowed, bits (default: 64) -mt TAG ..... use 'TAG' instead of `FPP' for mixture fingerprints -md dens .... density below which fingerprints are folded (default: 0.3) -mz ......... zap existing FPP data from TDT stream produces: FP<fp;obits;oset;nbits;nset;ver;fpid> FPP<part-ntuple;fpp;fpid>