Q75WF2 AF NFT

Plancitoxin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiagtnklo4pwvxpntidkktpbim32q4cwocmsjiw2bpgma4edvllzoi/metadata.json
IPFS of structure file: 
bafybeibjkwswbv4oedka7l67rp52n6jtokgq366nkfvwde2rywnusz2eze/AF-Q75WF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2bC32f18fAE37A281d59d6b3aF4271fbb7011463
First NFT owner address (bech32): 
genesis190pj7x86udazs82e66e67sn3lwmsz9rrz29ljz
Current NFT ID #99496 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
99496
Accession (UniProt):
Q75WF2
Name::
Plancitoxin-1
Experimental Method:
Predicted structure
Sequence source:
Acanthaster planci

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 Q75WF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q75WF2|DNA2_ACAPL Plancitoxin-1 OS=Acanthaster planci OX=133434 PE=1 SV=1 MPSSVIMFTFLALTVLTAVMVGTSEAVSCMDNKNKPVDWFIVYKLPQDSASSKPVIREGYGQMYMDVNNQALKFSSTSLKDDDHAIAYTVDDIYKNHGKGNLAHVMYNDQPPAGEEIQSGLVGHTKGVLAFDGTSGFWLVHSVPKFPLPASKSYNWPDNAKRNGQTLLCITFKYDQFEKIGQQLKYNYPGVYDSDLPSKLVGKTPSIVDLVKNVHVTSPPWNRQLNLQSKSGQTFVSFNKASKWGEDLYKNWLATHFKSGLYCETWQNGGRNLNSSCEAGLNVYNVKKVSLSGGSDFKGTKDHSKWAVTTKSGLKWTCIGGINRQTSQMYRGGGAVCLENANVHKAFYDSVAEYEPCT