P15156 AF NFT

Calcium-dependent serine proteinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifu2qshchyvvpau6kmv5maidt3gp7odi2iawihvkelgf65harykry/metadata.json
IPFS of structure file: 
bafybeihetjlyeha7uy6pxm5r5y33d637d66eatcurgaqsq32442hht4uje/AF-P15156-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #51821 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
51821
Accession (UniProt):
P15156
Name::
Calcium-dependent serine proteinase
Experimental Method:
Predicted structure
Sequence source:
MESOCRICETUS AURATUS

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 P15156 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P15156|CASP_MESAU Calcium-dependent serine proteinase OS=Mesocricetus auratus OX=10036 PE=1 SV=1 MGKSSEAWCIVLFSVFASFSAEPTMHGEILSPNYPQAYPNEMEKTWDIEVPEGFGVRLYFTHLDMELSENCEYDSVQIISGGVEEGRLCGQRTSKNANSPIVEEFQIPYNKLQVIFRSDFSNEERFTGFAAYYAAIDVNECTDFTDVPCSHFCNNFIGGYFCSCPPEYFLHDDMRNCGVNCSGNVFTALIGEISSPNYPNPYPENSRCEYQILLEEGFQVVVTIQREDFDVEPADSQGNCQDSLLFAAKNRQFGPFCGNGFPGPLTIETHSNTLDIVFQTDLTEQKKGWKLRYHGDPIPCPKEITANSVWAPEKAKYVFKDVVKISCVDGFEAVEGNVGSTFFYSTCQSNGQWSNSRLRCQPVDCGIPEPIQNGKVDDPENTLFGSVIHYSCEEPYYYMEHAEHGGEYRCAANGSWVNDELGIELPKCVPVCGVPTEPFRIQQRIFGGFPAKIQSFPWQVFFEFPRAGGALIGEHWVLTAAHVVEGNSDPSMYVGSTSVRMENLANVQKLTTDRVIIHPGWKPGDDLSTRTNFDNDIALVRLKDPVKMGPTVSPICLPGTSSEYEPSEGDLGLISGWGRTERRNIVIQLRGAKLPVTSLEKCRQVKEENPKARADDYVFTSNMICAGEKGVDSCQGDSGGAFALPVPNVRDPKFYVAGLVSWGKKCGTYGIYTKVKNYKDWILQTMQENSVPSQD