P0CF37 AF NFT

Bactridin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieqx72kigfx7n3qtjvcixoio42rc3wfeovfogjsgftbkmmhvrbbmy/metadata.json
IPFS of structure file: 
bafybeiamxutnldl7jczqthrh7zdxcfotynczbuqtukpgrwkm7cwk3smwue/AF-P0CF37-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc4fEa86686f78821C47e9d275178fa19c66b7BCf
First NFT owner address (bech32): 
genesis1cnl2se5x77yzr3r7n5n4z786r8rxk770th8ky3
Current NFT ID #14977 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
14977
Accession (UniProt):
P0CF37
Name::
Bactridin-2
Experimental Method:
Predicted structure
Sequence source:
Tityus discrepans

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 P0CF37 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CF37|AMP2_TITDI Bactridin-2 OS=Tityus discrepans OX=57059 PE=1 SV=1 KDGYLVGNDGCKYSCFTRPGTYCANECSRVKGKDGYCYAWMACYCYSMPNWVKTWNRATNRCGR