P0DJC4 AF NFT

Conotoxin Qc5.1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihsibros53xzzrl2iexmtffzcihbg2niw4gf53v3i5qtpf2iw7v4y/metadata.json
IPFS of structure file: 
bafybeifg44om45jos7ztqkufyzgmuqn66iumbrv3x5hlw7ciusphiq76n4/AF-P0DJC4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB0755A2f7771BeB09D59dEE34388c0C970c91251
First NFT owner address (bech32): 
genesis1kp645tmhwxltp82emm358zxqe9cvjyj3td4wc2
Current NFT ID #79797 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
79797
Accession (UniProt):
P0DJC4
Name::
Conotoxin Qc5.1
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 P0DJC4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DJC4|CT51_CONQU Conotoxin Qc5.1 OS=Conus quercinus OX=101313 PE=2 SV=1 MRCVPVFIILLLLSPSAPSVDAHPMTKDDVPQASFHDDAKRTLQVPWMKRGCCARLTCCVGR