P0CF39 AF NFT

Bactridin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicskkokj56kocyagtf7grg6vyoykkvw74gpdn4gs7ugesdizjzljm/metadata.json
IPFS of structure file: 
bafybeianpl3a37aa65533zqfucuashw4ejquzp7t2ebpbxintibql4zzi4/AF-P0CF39-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #14959 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
14959
Accession (UniProt):
P0CF39
Name::
Bactridin-1
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 P0CF39 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CF39|AMP1_TITDI Bactridin-1 OS=Tityus discrepans OX=57059 PE=1 SV=1 KDGYIIEHRGCKYSCFFGTNSWCNTECTLKKGSSGYCAWPACWCYGLPDNVKIFDSNNLKC