Q65MS6 AF NFT

Phosphoribosylformylglycinamidine cyclo-ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiahejrmr62to7oxmr2zuz7e3afpe4svpuwe4p26je2hkkflrzk2aq/metadata.json
IPFS of structure file: 
bafybeicahoiho2fzybmnz3ywn2a3gw5btgrdznmhxbchlaj4sxpbctn6p4/AF-Q65MS6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5dE98e70b9933Af0550a86E7d1628A7E076af841
First NFT owner address (bech32): 
genesis1th5cuu9ejva0q4g2smnazc520crk47zpdxgqr0
Current NFT ID #320708 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
320708
Accession (UniProt):
Q65MS6
Name::
Phosphoribosylformylglycinamidine cyclo-ligase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q65MS6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65MS6|PUR5_BACLD Phosphoribosylformylglycinamidine cyclo-ligase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=purM PE=3 SV=2 MSESYKNAGVDIEAGYEAVKRMKKHVERTKRIGAMGGLGGFGGMFDLSELPYKQPVLISGTDGVGTKLKLAFAMDKHDTIGIDAVAMCVNDVLAQGAEPLFFLDYLAVGKADPVKIEEIVKGVAEGCVQSGSALVGGETAEMPGLYTEDEYDIAGFSVGAAEKDGIVTGENISEGHLLIGLSSSGLHSNGFSLVRKVLLEDAGLNLDETYAPFERPLGEELLEPTKIYVKPVLEAVKSGKIAGMAHVTGGGFIENLPRMMPDGLGVEIDIGSWPVPPIFPFIQEKGGLKSEEMFNVFNMGIGFVLAVKEEDMTDVIQTLENNGEKAYLIGRVKAGSGVVFGGAGLS