Q6JQN2 AF NFT

Peptide BmKn2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7aymwphdm4r66doyry4gk75x7dzev22yefupfh7vhdyqywyghky/metadata.json
IPFS of structure file: 
bafybeiaj7gadn3cd6qyagbhmhhxmwwomi2voqj5d3le3m4ypctniqfu3d4/AF-Q6JQN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa02d851D8aB39CC5520A796fAA338fbc4fE2cd63
First NFT owner address (bech32): 
genesis15qkc28v2kwwv25s209h65vu0h3879ntraqzjgz
Current NFT ID #260414 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
260414
Accession (UniProt):
Q6JQN2
Name::
Peptide BmKn2
Experimental Method:
Predicted structure
Sequence source:
MESOBUTHUS MARTENSII

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 Q6JQN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6JQN2|NDB44_MESMA Peptide BmKn2 OS=Mesobuthus martensii OX=34649 PE=1 SV=1 MKSQTFFLLFLVVLLLAISQSEAFIGAIANLLSKIFGKRSMRDMDTMKYLYDPSLSAADLKTLQKLMENY