Q5NVS7 AF NFT

Calpain-1 catalytic subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7jg4qmnhh2dqot7gc5eanlydr7dn5m5rkmgubs7kdxuyfs3tr7a/metadata.json
IPFS of structure file: 
bafybeia4oskwdyd7d7ie63e6yerg4u2l5rvkoephrtngrzj3y5q46g7shy/AF-Q5NVS7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x51a88c9A74900bB364B9166372866665823d4B10
First NFT owner address (bech32): 
genesis12x5gexn5jq9mxe9eze3h9pnxvkpr6jcszqs3m5
Current NFT ID #50156 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
50156
Accession (UniProt):
Q5NVS7
Name::
Calpain-1 catalytic subunit
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5NVS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5NVS7|CAN1_PONAB Calpain-1 catalytic subunit OS=Pongo abelii OX=9601 GN=CAPN1 PE=2 SV=1 MSEEIITPVYCTGVSAQVQKQRARELGLGRHENAIKYLGQDYEQLRVRCLQSGTLFRDEAFPPVPQSLGYKDLGPNSSKTYGIKWKRPTELLSNPQFIVDGATRTDICQGALGDCWLLAAIASLTLNDTLLHRVVPHGQSFQNGYAGIFHFQLWQFGEWVDVVVDDLLPIKDGKLVFVHSAEGNEFWSALLEKAYAKVNGSYEALSGGSTSEGFEDFTGGVTEWYELRKAPSDLYQIILKALERGSLLGCSIDISSVLDMEAITFKKLVKGHAYSVTGAKQVNYRGQMVSLIRMRNPWGEVEWTGAWSDSSSEWNNVDPYERDQLRVKMEDGEFWMSFRDFMREFTRLEICNLTPDALKSRTIRKWNTTLYEGTWRRGSTAGGCRNYPATFWVNPQFKIRLDETDDPDDYGDRESGCSFVLALMQKHRRRERRFGRDMETIGFAVYEVPPELAGQPAVHLKRDFFLANASRARSEQFINLREVSTRFRLPPGEYVVVPSTFEPNKEGDFVLRFFSEKSAGTAELDDQIQANLPDEQVLSEEEIDENFKALFRQLAGEDMETSVKELRTILNRIISKHKDLRTKGFSLESCRSMVNLMDRDGNGKLGLVEFNILWNRIRNYLSIFRKFDLDKSGSMSAYEMRMAIESAGFKLNKKLYELIITRYSEPDLAVDFDNFVCCLVRLETMFRFFKTLDTDLDGVVTFDLFKWLQLTMFA