A0A1L8G2K9 AF NFT

DNA-dependent metalloprotease SPRTN

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifmv6kdgpfox2zjmxp35yjc4og6feeavyzjrwvpbuuf5dzcuy4sf4/metadata.json

IPFS of structure file:

bafybeigt3jjf5vtckl3sjxqlob6kl6y2im34elapupakl523ctcah2vdyi/AF-A0A1L8G2K9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97

First NFT owner address (bech32):

genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz

Current NFT ID #435517 owner (web3):

0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
435517
Accession (UniProt):
A0A1L8G2K9
Name::
DNA-dependent metalloprotease SPRTN
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 A0A1L8G2K9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A1L8G2K9|SPRTN_XENLA DNA-dependent metalloprotease SPRTN OS=Xenopus laevis OX=8355 GN=sprtn PE=1 SV=1 MGDMQMSVVDPTWELLDPNPDIRALFLEFNDTFFWGQLSGVEVKWSARMTLCAGVCSYEGRGGLCSIRLSEPLLKLRPRKDLVETLLHEMIHALLFVTHNNKDHDSHGPEFCKHMERINGRTGANISVYHNFHDEVDEYRKHWWLCNGPCQKRKPYFGYVKRAMNRAPSSLDPWWADHQRTCGGSFVKVKEPENYPQKRKRKNDPTISEVNSSSHVKGKSNGVDIRTVIPFSGTGYKLFEPNKSDAPLKILNINPTKDKAAVPLLNHTPPSTNINGTFLTNKIGSAKSTPAQSILTKVSVANTKVFINLNGSPIKLPSGSKNKSHQISSKQKSVLPFFKMQKDNSFDLTLPSPSIQSTSQKPQKDISFGFTLPSQSFPSTSPGSNSENKEPLYKKLQMNDRESFIIHSGNKTNVNDNKSCTGPAATTASGLNHTIKVSCPVCGTEVLECKINDHLDTCTSSGPQKDILLDVSLPLQSFPSTSQGSNSAIKEPLYKKLQINDKDSFIIHSGNKTNVNDNKSCTRPAATTASGFNHTIKVCCPVCGTDVLQDKINDHLDTCLQNCNT

MOLNFT AF v1_w

NFT data

MOLNFT A0A1L8G2K9 research and analysis (ICN3D with VR)

FASTA sequences

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