A5PF62 AF NFT

Protein THEMIS

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidewh7qm7dnt5crxrthlkwhytbvw43ang442n5vqqg3l3f6j3zxzi/metadata.json
IPFS of structure file: 
bafybeicxz4xuweexzmymuftk2dhsrx54usin73r2usamt5hdvj4x46752m/AF-A5PF62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #464991 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
464991
Accession (UniProt):
A5PF62
Name::
Protein THEMIS
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 A5PF62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5PF62|THMS1_DANRE Protein THEMIS OS=Danio rerio OX=7955 GN=themis PE=2 SV=1 MAQTLQEFTHALEEKHLPRVLHIQSGIYYQGCVYEVFGQECSLSTGDLLKVTEITISRFNALTSSSTEIQLPVEYPGLFKLMADSQPYRSIQEIADSLKIGPQRVAQPVFLSAVDVDLEPGLVLRRRDSFRITAVEWSCGRVHCELLHREPPICFSLSFCQQGPFSECQDHQCYTLKEIADWKIPRGRKRSVVEVKAPAKKNFLFSGLLENVCGELLLTPVYELKAISRLSEKVLLIPSNLDVEVVDVTEQYDCDSFVQPLSLMDVYKRPPQFFPVLAKLSSENHFRLSPDLESLFQSKEVIIHHPFKAKRILASEMCQESARHFLIPESYNGRFKRRPRQFSTAYDLERARSETEEIRVVATKDFETVYSGLASVQAGEEFIVTKGQSCAVSHNGTEKVADTFECVKVKAEGKEPVRLPMCLEGGFMELVKDKRQYTIAEICRWFPLPFNVKVSVRDLSLKADILAGTPSLHIEEEISDPCVLVSNTDLSDFREVPVNRTDLIFNVKQRWDGESPKFSVKSAIEEISEDCYYTIRRYAIATITPPPRPPKKPKDPPPRPPKTSRSESTNSESSSCSPKTLHVEPFKQDGLLQCCDSRNGNEQKIPISPVTLPRPSLQKARAKGRSLDDISMDKHAASDNDVHDYEYIDEEQLDNIRRTYQEQQINTKAKPSHTI