Q9LD79 AF NFT

Pathogenesis-related protein (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeialhtc4jox4mvmwf5jpv7avi3363h6vr555wjbf7wrwcaafz2ylj4/metadata.json
IPFS of structure file: 
bafybeibxhrul44jweaemqtob6qmjjlooahm2653a3xjn4bfcez6bwdhmme/AF-Q9LD79-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xba10dCAB85f8E44298b6025C21224eB1B2a215c2
First NFT owner address (bech32): 
genesis1hggde2u9lrjy9x9kqfwzzgjwkxe2y9wzg37e26
Current NFT ID #311408 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
311408
Accession (UniProt):
Q9LD79
Name::
Pathogenesis-related protein (Fragment)
Experimental Method:
Predicted structure
Sequence source:
Juniperus virginiana

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 Q9LD79 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LD79|PRR3_JUNVI Pathogenesis-related protein (Fragment) OS=Juniperus virginiana OX=39584 PE=1 SV=2 AFLLAATLTISSHMQEAGAVKFDIKNQCGYTVWAAGLPGGGKRLDQGQTWTVNLAAGTASARFWGRTGCTFDASGKGSCQTGDCGRQLSCTVSGAVPATLAEYTQSDQDY