Q2IAL7 AF NFT

Cathelicidin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeictzey6q4cp3h4eypagpafq5ch7kmgcudttufyo7lqbc5v3oxefpm/metadata.json
IPFS of structure file: 
bafybeibalvqnsdqcvxeesyms6lche56qugigzqatfulb7taoyio4zokmoe/AF-Q2IAL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #80153 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80153
Accession (UniProt):
Q2IAL7
Name::
Cathelicidin-2
Experimental Method:
Predicted structure
Sequence source:
GALLUS GALLUS

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 Q2IAL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2IAL7|CTHL2_CHICK Cathelicidin-2 OS=Gallus gallus OX=9031 GN=CATHL2 PE=2 SV=1 MLSCWVLLLALLGGVCALPAPLSYPQALIQAVDSYNQRPEVQNAFRLLSADPEPGPGVDLSTLRALNFTIMETECTPSARLPVDDCDFKENGVIRDCSGPVSVLQDTPEINLRCRDASSDPVLVQRGRFGRFLRKIRRFRPKVTITIQGSARFG