P0DJC5 AF NFT

Conotoxin Qc5.2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiccnxikyvobe4hj5yc7b6j5grrstmz3e56ixbouiizbggbjxymucm/metadata.json
IPFS of structure file: 
bafybeihfffqo6qflgb3lt6nsleexjn4dghz4vvabpeoneg6cgmrjxcspxi/AF-P0DJC5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x525FE18ab22A16139c2eAe4837a75e46F5923bB0
First NFT owner address (bech32): 
genesis12f07rz4j9gtp88pw4eyr0f67gm6eywas8hhcjt
Current NFT ID #79811 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
79811
Accession (UniProt):
P0DJC5
Name::
Conotoxin Qc5.2
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 P0DJC5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DJC5|CT52_CONQU Conotoxin Qc5.2 OS=Conus quercinus OX=101313 PE=2 SV=1 MRCVPVFIILLLLSPSAPSVDAHPMTKDDVPQASLHDDAKRTLQVPWMKRGCCAMLTCCVGR