P68227 AF NFT

Hemoglobin subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcb7c6uuqpbmmdndbaiidjkzwno6nlct5uthiv44o6bpfmws5fwq/metadata.json
IPFS of structure file: 
bafybeihceqf6zdebqwrr5brsagrcodsfq2xihtvxi3de6ogmzdw7zh6inq/AF-P68227-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7f9595c0ebc329d2483da2c40B35379844620484
First NFT owner address (bech32): 
genesis1072ets8tcv5ayjpa5tzqkdfhnpzxypyyjwxruv
Current NFT ID #165040 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
165040
Accession (UniProt):
P68227
Name::
Hemoglobin subunit beta
Experimental Method:
Predicted structure
Sequence source:
Lama vicugna

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 P68227 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P68227|HBB_LAMVI Hemoglobin subunit beta OS=Lama vicugna OX=9843 GN=HBB PE=1 SV=2 MVNLSGDEKNAVHGLWSKVKVDEVGGEALGRLLVVYPWTRRFFESFGDLSTADAVMNNPKVKAHGSKVLNSFGDGLSHLDNLKGTYAKLSELHCDKLHVDPENFRLLGNVLVVVLARHFGKEFTPDLQAAYQKVVAGVANALAHRYH