A9R0Q8 AF NFT

Ferrochelatase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihyfgszqysv55ll7hp73alyaxefjivnusjb2keus3jg4zgucz5ani/metadata.json
IPFS of structure file: 
bafybeicvmmumwco4l6yauaves5hfrwqkx6syqbxkne372y3xscb45ee6cy/AF-A9R0Q8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x795B30fA999F90F224362808144752F0c0125c76
First NFT owner address (bech32): 
genesis109dnp75en7g0yfpk9qypg36j7rqpyhrksyu6wt
Current NFT ID #168148 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
168148
Accession (UniProt):
A9R0Q8
Name::
Ferrochelatase
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 A9R0Q8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R0Q8|HEMH_YERPG Ferrochelatase OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=hemH PE=3 SV=1 MMQSKPGVLMVNLGTPDAPTSKAIKRYLAEFLSDRRVVDTSPLLWWPLLHGVILPLRSPRVAKLYQSVWMEEGSPLLVYSRRQQKALAARMPDIPVELGMSYGSPNLPEAIEKLLAQGVTNLVILPLYPQYSCSTSAAVWDAVARVLKGYRRLPSISFIRDYAEHPAYISALKQSVERSFAEHGQPDRLVMSFHGIPKRYAQLGDDYPIRCEDTSRALRAALPLPAEKIIMTYQSRFGREPWLTPYTDETLKSLPSQGVKHIQLICPGFSADCLETLEEIKEQNREFFLHAGGEKFEYIPALNDDEGHIALLEQLIRHNI