P10023 AF NFT

Uncharacterized 30.3 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxmq4rcs27got725kifdk4culohj4jrhm6z4dptzbq66cr4xma4e/metadata.json
IPFS of structure file: 
bafybeie5zzhf6a5y6i3xjxq3qni7na3l72semy3yy4hfta4vk6imc346ey/AF-P10023-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #530600 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
530600
Accession (UniProt):
P10023
Name::
Uncharacterized 30.3 kDa protein
Experimental Method:
Predicted structure
Sequence source:
BACILLUS THURINGIENSIS

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 P10023 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P10023|YGI2_BACTU Uncharacterized 30.3 kDa protein OS=Bacillus thuringiensis OX=1428 PE=4 SV=2 MKKLLISFIAILFFICGFNLKAFAAEEIIDYQSLYNQAIQEGVLDQNSVSYNEWLKQNKEEFMPIYQDGLKQGVFLEPLSYNEWLKLNNYGQAPTGDIELFDDVTPRGSWGGFTLKAGDIFITNATSSAGIVGHAAIANGDNYILHMPGAGQGNQQLSTSNWMQKYTASGKWIKVYRLKDQTLARDVARYADRNFYSTTGSATKNVYLDYGIDTHLYQKNPTYCSKLVFQALYFGSGSRNVMQAVSGIVTPYGLIDTFTSAYRPSLVKTY