P02170 AF NFT

Myoglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6dhkye2yxzm4ikhwzcau3w3dhi4woi2gt6emf3k3oib55u4sdhq/metadata.json
IPFS of structure file: 
bafybeicjfl3njvlv7mf2jel6nuhn2ci7gqcuwnmcpqmfdypgnhe7vocb3a/AF-P02170-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x03eE9dF280950A2b9f9DE96506c6093Adc158ac7
First NFT owner address (bech32): 
genesis1q0hfmu5qj59zh8uaa9jsd3sf8twptzk8c2ywe6
Current NFT ID #255318 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
255318
Accession (UniProt):
P02170
Name::
Myoglobin
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 P02170 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02170|MYG_RABIT Myoglobin OS=Oryctolagus cuniculus OX=9986 GN=MB PE=1 SV=2 MGLSDAEWQLVLNVWGKVEADLAGHGQEVLIRLFHTHPETLEKFDKFKHLKSEDEMKASEDLKKHGNTVLTALGAILKKKGHHEAEIKPLAQSHATKHKIPVKYLEFISEAIIHVLHSKHPGDFGADAQAAMSKALELFRNDIAAQYKELGFQG