P23578 AF NFT

Acrosin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifbqlhmja5nfbvy56rwxrf5i4iqhuhdw3hgpcnscrpfznw52u4q3i/metadata.json
IPFS of structure file: 
bafybeiapdbfm6wgz63fyi6wupbwzmrwbpcendrs7aehyooi7npk5cbcgrm/AF-P23578-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #7862 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
7862
Accession (UniProt):
P23578
Name::
Acrosin
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P23578 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P23578|ACRO_MOUSE Acrosin OS=Mus musculus OX=10090 GN=Acr PE=1 SV=1 MVEMLPTVAVLVLAVSVVAKDNTTCDGPCGLRFRQNSQAGTRIVSGQSAQLGAWPWMVSLQIFTSHNSRRYHACGGSLLNSHWVLTAAHCFDNKKKVYDWRLVFGAQEIEYGRNKPVKEPQQERYVQKIVIHEKYNVVTEGNDIALLKITPPVTCGNFIGPCCLPHFKAGPPQIPHTCYVTGWGYIKEKAPRPSPVLMEARVDLIDLDLCNSTQWYNGRVTSTNVCAGYPEGKIDTCQGDSGGPLMCRDNVDSPFVVVGITSWGVGCARAKRPGVYTATWDYLDWIASKIGPNALHLIQPATPHPPTTRHPMVSFHPPSLRPPWYFQHLPSRPLYLRPLRPLLHRPSSTQTSSSLMPLLSPPTPAQPASFTIATQHMRHRTTLSFARRLQRLIEALKMRTYPMKHPSQYSGPRNYHYRFSTFEPLSNKPSEPFLHS