Q5XI52 AF NFT

Vezatin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5j4clev6w76nyhqwamubs7ujlgxsqbekgbm2h2edtjjay7aoa7i/metadata.json
IPFS of structure file: 
bafybeiecuzyn5zmkgv7ljzaky3p2i5mqitwvrt6la4bt3q2qi35xh2lvde/AF-Q5XI52-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ac19BF43ac46e707bF48e314206299eb9b460D6
First NFT owner address (bech32): 
genesis1ftqehap6c3h8q7l53cc5yp3fn6umgcxkgctfv9
Current NFT ID #496173 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496173
Accession (UniProt):
Q5XI52
Name::
Vezatin
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q5XI52 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5XI52|VEZA_RAT Vezatin OS=Rattus norvegicus OX=10116 GN=Vezt PE=2 SV=1 MTPEFDEEVVFENSPLYQYLQDLGHTDFEICSSLSPKTETCLTTEEPQTPPTRVLQKQGILLKLTETIKSWTLSSQYSKKDDLLHKLDTGFRLDALDAILQQEVLLQEDVELIELLDPSILSAGHPQQENGHLPTLCSLATPNIWDVSMLFAFISLLIMLPTWWIVSSWLVWGIILFLYLIIRVLKFWRTAKLQMTLKKYRVRLEDMAANSRAFTNLVRKSLRLIQETEVISRGFTLLLDRVSAACSFNKAAQHPSQHLIGLRKAVYRTVRANFQAARLATLYMLKNYPLNSESDNVTNYICVVPFKELGLGLSEDQISEEEARNLTDGFSLPALKVLFQLWVAQSSEFFRRLALLLSTANSPSGPLLTAALLPHRILSDVTQGLPHAHTACLDELKRSYEFFRYFETQHQSVPQRLPKTQPKWRELNNVHTAVRSLQLHLKALLNEVIILEDELEKLVCTKETQELLSEAYPVLEQRLKLIEPHVQASNSCWEEAISQVDRLLRRNTDQKGKPGVACENPHCTAAPLLRPTLHIEDRDPIPEEQELEAYVDGIDIESEFRKDSLYHVSQEDRERQKREQEESKRVLQELKSVLGFKASEAERQKWKQLLFSDHAVLKSLSPVEPVESVSNSETPMNSDTEQAHSEATEEETSKPCASDKEDTRTEYMCDGPPKGQSKDTSGDQGHLLQGAHQCESEAKPPQAAAAGATAPPTPRDSPRLSIKQRLARLQLSPEYTFTAGLAAEVAARSLSFTTMQEQTFGDEEDEDKEQLVEGGERELEEK