Q96PL2 AF NFT

Beta-tectorin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiem26n2ihdz3vdvk2vqnzsplhgekwmdtw2ptrak33jjfaj2rkb3cm/metadata.json
IPFS of structure file: 
bafybeifwlkhvmdncjvzk6d4a64r4wb6od4stnujludch2iobbk3q7xdb4y/AF-Q96PL2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5fa8aF910eDA471127Dc4EC5b737223f437dc3e0
First NFT owner address (bech32): 
genesis1t752lygwmfr3zf7ufmzmwdez8aphmslquevs62
Current NFT ID #460927 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
460927
Accession (UniProt):
Q96PL2
Name::
Beta-tectorin
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q96PL2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q96PL2|TECTB_HUMAN Beta-tectorin OS=Homo sapiens OX=9606 GN=TECTB PE=2 SV=1 MVTKAFVLLAIFAEASAKSCAPNKADVILVFCYPKTIITKIPECPYGWEVHQLALGGLCYNGVHEGGYYQFVIPDLSPKNKSYCGTQSEYKPPIYHFYSHIVSNDTTVIVKNQPVNYSFSCTYHSTYLVNQAAFDQRVATVHVKNGSMGTFESQLSLNFYTNAKFSIKKEAPFVLEASEIGSDLFAGVEAKGLSIRFKVVLNSCWATPSADFMYPLQWQLINKGCPTDETVLVHENGRDHRATFQFNAFRFQNIPKLSKVWLHCETFICDSEKLSCPVTCDKRKRLLRDQTGGVLVVELSLRSRGFSSLYSFSDVLHHLIMMLGICAVL