P02017 AF NFT

Hemoglobin subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibvd6dpg7qsbextydohcpja6auimqqk4hgq4k6adyaaetxx23roze/metadata.json
IPFS of structure file: 
bafybeieoy72vdihun36rej6szx6ck4ftrutkyhdgc5em4qstjm527rnuqq/AF-P02017-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x20b6eE119323203650E7eF1c5794b5921737553F
First NFT owner address (bech32): 
genesis1yzmwuyvnyvsrv588auw90994jgtnw4flpt0kvf
Current NFT ID #164658 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
164658
Accession (UniProt):
P02017
Name::
Hemoglobin subunit alpha
Experimental Method:
Predicted structure
Sequence source:
Catostomus clarkii

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 P02017 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02017|HBA_CATCL Hemoglobin subunit alpha OS=Catostomus clarkii OX=7970 GN=hba PE=1 SV=1 SLSDKDKADVKIAWAKISPRADEIGAEALGRMLTVYPQTKTYFAHWADLSPGSGPVKHGKKVIMGAIGDAVTKFDDLLGGLASLSELHASKLRVDPSNFKILANCITVVIMFYLPGDFPPEVHASVDKFFQNLALALGQKYR