P0CJ13 AF NFT

Venom protein 164

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpkqoxjlq2ejeqh4tnepqvokhpohe64su6dkthfpfqbuccb7254u/metadata.json
IPFS of structure file: 
bafybeibdnfeekotcbhk6hebrdhpzrjis7qrpckbgftwrkkekf5seljka5m/AF-P0CJ13-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3D1e520F55Fc226fbcf67321e6BBe1564494aac5
First NFT owner address (bech32): 
genesis18509yr64ls3xl08kwvs7dwlp2ezff2k95vfqjz
Current NFT ID #497527 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497527
Accession (UniProt):
P0CJ13
Name::
Venom protein 164
Experimental Method:
Predicted structure
Sequence source:
LYCHAS MUCRONATUS

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 P0CJ13 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CJ13|VP164_LYCMC Venom protein 164 OS=Lychas mucronatus OX=172552 PE=3 SV=1 MKCLIILVIFAIATTQIRAACNQQSDCPPGSCCKKPNSYMEGGCFPLLKRGESCYVKDNRIYDVYREKCPCGEGLRCHQFAEGIWQGQCVETS