Q2I689 AF NFT

Zinc finger protein PLAGL1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeighujtxbinuwgaoyg4teb5v76in4fifbr2delq2cmikjajsatrici/metadata.json
IPFS of structure file: 
bafybeigulbwfidz4xhs67spatom6pipre42ze2wc7uiovxg4xbiyfkplnu/AF-Q2I689-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x38526d6fa37D9b4b1FcF4Feb5F4F3CEBD4C12B01
First NFT owner address (bech32): 
genesis18pfx6mar0kd5k870fl447neua02vz2cp6dspyz
Current NFT ID #300857 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
300857
Accession (UniProt):
Q2I689
Name::
Zinc finger protein PLAGL1
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q2I689 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2I689|PLAL1_PIG Zinc finger protein PLAGL1 OS=Sus scrofa OX=9823 GN=PLAGL1 PE=2 SV=1 MATYPCQLCGKTFLTLEKFTIHNYSHSRERPYKCLQPDCGKAFISRYKLMRHMATHSPQKSHQCAHCEKTFNRKDHLKNHLQTHDPNKMAFGCEECGKKYNTMLGYKRHLALHAASSGDLTCGVCALELGSTEVLLDHLKAHAEEKPPSGTKEKKHQCDHCERCFYTRKDVRRHLVVHTGCKDFLCQFCAQRFGRKDHLTRHTKKTHSQELMKESLQSGDLLSTFHSISPQFQLKAAPLSPFPLGAPAQNGLASSLPAEVHSHTHNPSEQTSQPVQALPELLAPLHPVAPPTSPPQPLQNHKYNTSSTSYSPLASLPLKADTKGFCNTNLLEDLPLQEPQSPHKLNPGFDLAKGGAGKVNLPKELPADAVNLTIPASLDLSPLLGFWQLPPPATQNAFGNSTLTLGPGESLPHRLSCLGQQQQDPSLAMSTMSLGQLPLPPIPHVFPAGTGSAILPHFHHAFR