P0DSI3 AF NFT

Venom allergen 3 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigak4xfblwntq3bcucvcxcsolgwcy5xpzx2ldiuttishllxbdpwqy/metadata.json
IPFS of structure file: 
bafybeih4c5e3hx3a44sjnqyhzt5zxmuo2zsosol2kg65f3mmcjub4xdvgy/AF-P0DSI3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA4D9B5300039B74C1Cd502B506a822364e6BC90A
First NFT owner address (bech32): 
genesis15nvm2vqq8xm5c8x4q26sd2pzxe8xhjg2atr5x9
Current NFT ID #494639 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
494639
Accession (UniProt):
P0DSI3
Name::
Venom allergen 3 homolog
Experimental Method:
Predicted structure
Sequence source:
Dinoponera quadriceps

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 P0DSI3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DSI3|VA3_DINQU Venom allergen 3 homolog OS=Dinoponera quadriceps OX=609295 PE=2 SV=1 MSSCMLFFTVIIAGVFMGTIATNYCNLKSCVNYGNIHTMCKYTSSTPASTCSKWEKAGLTDAEKKTIVTLHNQLRRKVAAGKETRGNPGPQPAAATMPDLTWDNELAMVAQRWANQCKYGHDACRNIERFQVGQNVAIRGSTGENLSTVDQMILSWYSEVDLMNKKYVSSFPKDDTYKKIGHYTQIVYGNTKTIGCGRIFYKDGKWNQQYLVCNYGPAGNYPNAPVYQIKQ