P0DN68 AF NFT

LexA repressor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigfuxfeyuak64tuvc4mtwg7jtebbqps7udw3wcb5lla4kokal7m2y/metadata.json
IPFS of structure file: 
bafybeiajjvnjwzujvf2bvdj4pvqadvqlae72wl3mpx6pnue2ij6lvmo2iq/AF-P0DN68-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA3FcDA3b64371bD5fCb5a1c55B5C6Ce480247b33
First NFT owner address (bech32): 
genesis1507d5wmyxudatl9458z4khrvujqzg7enyte3hz
Current NFT ID #212035 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
212035
Accession (UniProt):
P0DN68
Name::
LexA repressor
Experimental Method:
Predicted structure
Sequence source:
Fibrobacter succinogenes (strain ATCC 19169 / S85)

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 P0DN68 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DN68|LEXA_FIBSS LexA repressor OS=Fibrobacter succinogenes (strain ATCC 19169 / S85) OX=59374 GN=lexA PE=1 SV=1 MENTNEKRKEMTARQEEIYEYIKKYSKENHMPPTVREIGNHFDISSTNGVRSILAALIKKGYINRSPRLSRGIEILSDDKESSKEVASNTIEIPIVGRVAAGTPILAVQNLEGTVTIDRDFLACRSDVFALRVKGDSMINAGIFDGDLIFARQQKTADLGEIVVAQIDNEATVKYYHPSADHVELRPANPKYKPIIVNNRKDFSIAGRVIGVMRKVN