P82153 AF NFT

Cydiastatin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhxsjokyhzr4l44ohlvzsxge4p6iwmlfumlyaee3zykppwyuqtjq/metadata.json
IPFS of structure file: 
bafybeigkjh34bocc23uz63dnwqxtd2okappb5rdwpzdpi72ltjgsfbh56m/AF-P82153-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE1Cc94e83A0D79C98C37eeb7e4C2CcD4A82a9417
First NFT owner address (bech32): 
genesis1u8xff6p6p4uunrpha6m7fskv6j5z49qhjtmeer
Current NFT ID #13829 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
13829
Accession (UniProt):
P82153
Name::
Cydiastatin-2
Experimental Method:
Predicted structure
Sequence source:
Cydia pomonella

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 P82153 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P82153|ALL2_CYDPO Cydiastatin-2 OS=Cydia pomonella OX=82600 PE=1 SV=1 AYSYVSEYKRLPVYNFGL