Q30KL4 AF NFT

Beta-defensin 113

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxtqzi5poeoh7yyfder7vwk7gvfsdyz5q6xkrk72fovrt5frgt5y/metadata.json
IPFS of structure file: 
bafybeigotd3beiugnjj7ipajh7r7vnwigfhicegf5nhieezbfwsbimhdjm/AF-Q30KL4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #90222 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
90222
Accession (UniProt):
Q30KL4
Name::
Beta-defensin 113
Experimental Method:
Predicted structure
Sequence source:
PAN TROGLODYTES

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 Q30KL4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q30KL4|DB113_PANTR Beta-defensin 113 OS=Pan troglodytes OX=9598 GN=DEFB113 PE=3 SV=1 MKILCIFLTFFFTVSCGPSVPQKKTREVAEKKRECQLVRGACKPECNSWEYVYYYCNVNPCCVVQEYQKPIINKITSKLHQK