A9R927 AF NFT

Peptide deformylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6quorhzm6seudif3zqfy3xuvmfpk5hg6iae6g6bd6taz7dfmuge/metadata.json
IPFS of structure file: 
bafybeiarolxael6vltey45qc2fovrkbo32com4ybhaajssabf7vvrrqkyi/AF-A9R927-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8fB66D2ad2759AdE726c2A8B977129445f1a1D4C
First NFT owner address (bech32): 
genesis137mx62kjwkdduunv929ewuffg303582vwht99v
Current NFT ID #94506 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
94506
Accession (UniProt):
A9R927
Name::
Peptide deformylase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9R927 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R927|DEF_YERPG Peptide deformylase OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=def PE=3 SV=1 MSVLQVLHYPDERLRKIAAPVKEVNGEIQRIVDDMFETMYAEEGIGLAATQVDVHQQIIVIDISENRDQRLVLINPELLEKSGETGIEEGCLSIPEQRALVPRAEKVKIRALDRDGKPFELETDGLLAICIQHEMDHLIGKLFVDYLSPLKRQRIRQKLEKMAKLNARAN