P0DOZ4 AF NFT

Conantokin-Qu

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewsenqkbwtew5hxmnbhqzq2krnc34dpurmt5g3de3uhmu6llcgcm/metadata.json
IPFS of structure file: 
bafybeiagjvy64ahoduwla5sirs7gtonmooevju6l54vnadysbcdbicpweq/AF-P0DOZ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #64344 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
64344
Accession (UniProt):
P0DOZ4
Name::
Conantokin-Qu
Experimental Method:
Predicted structure
Sequence source:
Conus quercinus

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 P0DOZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DOZ4|CKQ_CONQU Conantokin-Qu OS=Conus quercinus OX=101313 PE=1 SV=1 GYEEREVAETVRELDAA