A9R2E0 AF NFT

Protein RnfH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvb2zk64hmuq2z6ztzkkiqzenmdcax46aeexpp64kdvgi4aw5neq/metadata.json
IPFS of structure file: 
bafybeibvnsh3ih7iiehahvuv76onhbypajixxrybq4me3jr4c3qeo7iolu/AF-A9R2E0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00015c671bd119DC86Baf28AF2eB830022fb46C1
First NFT owner address (bech32): 
genesis1qqq4cecm6yvaep46729096urqq30k3kp0yml0z
Current NFT ID #381221 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
381221
Accession (UniProt):
A9R2E0
Name::
Protein RnfH
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 A9R2E0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R2E0|RNFH_YERPG Protein RnfH OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=rnfH PE=3 SV=1 MPDIRVEVVYALSERQYLRTVSLVVGSTVEDAIKASGLLELRPDIDLEKNKVGIYSRPVKLGDKLNDGDRVEIYRPLIADPKELRRQRAEQAKK