Q9BPJ7 AF NFT

TxMMSK-03

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzcyv6mluydpl5jzvvlgwmortgbk36wthufrvjldezmzgzyd3z2q/metadata.json
IPFS of structure file: 
bafybeifv7qhypxuelz3s7c5bjacrergniw5r7wilkwy2zqazhqf6albeji/AF-Q9BPJ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x98C29E4e93BFE5f5dbd72C20b6a45D527D088577
First NFT owner address (bech32): 
genesis1nrpfun5nhljltk7h9sstdfza2f7s3pthf7q94f
Current NFT ID #222925 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
222925
Accession (UniProt):
Q9BPJ7
Name::
TxMMSK-03
Experimental Method:
Predicted structure
Sequence source:
CONUS TEXTILE

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 Q9BPJ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BPJ7|M3_CONTE TxMMSK-03 OS=Conus textile OX=6494 PE=1 SV=1 MSKLGALLIICLLLFPLTAVPMDGDQPADRPAERMQDDISFEQHPMFDATRRCCNAGFCRFGCTPCCY