Q5R9L2 AF NFT

Protein ZNF365

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidwo2po37sm66san37k6kdwm4qxh6sfid7ubwgzeuwvma64cfkvjm/metadata.json
IPFS of structure file: 
bafybeieyemdk47empxdgjtjufutsoxl6faznidpuvffkostqmwf5txqglu/AF-Q5R9L2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8FeAE72981819e83670F6a0fa7583C3e32901c2D
First NFT owner address (bech32): 
genesis13l4ww2vpsx0gxec0dg86wkpu8cefq8pdgsc9kk
Current NFT ID #541088 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541088
Accession (UniProt):
Q5R9L2
Name::
Protein ZNF365
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R9L2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R9L2|ZN365_PONAB Protein ZNF365 OS=Pongo abelii OX=9601 GN=ZNF365 PE=2 SV=1 MQQKAFEESRYPWQESFENVAVCLPFRCPRCGDHTRFRSLSSLRAHLEFSHSYEERTLLTKCSLFPSLKDTDLVTSSELLKPGKLQSSGNVVKQKPSYVNLYSISHEHSKDRKPFEVVAERPVSYVQTYTAMDLRADSLDGPRSGPGLPTSDTKASFEAHVREKFNRMVEAVDRTIEKRIDKLTKELAQKTAELLEVRAAFVQLTQKKQEVQRRERALNRQVDVAVEMIAVLRQRLTESEEELLRKEEEVVTFNHFLEAAAEKEVQGKARLQDFIENLVQRVELAEKQLEYYQSQQASGFGHDLSGHVLTDISSNRKPKCLSRGHPHSVCNHSDLKAHFHPKGRNHLKKAKDDRASMQPAKAIHEQAESSRDLCRPPKKGELLGFGRKGNIRPKMAKKKPTAIVNII