Q0SPD9 AF NFT | MOLNFT bioinformatics, blockchain

Probable transcriptional regulatory protein BAPKO_0024/BafPKo_0025

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiairjihq472oxy6wd3hqjxpkid5p7vdowzzlnqbin76w4jwz4ovgm/metadata.json

IPFS of structure file:

bafybeigl7s5hfkpkdpo2aujjfpyxmox7jno7uub4iiff5x5bgu7zjgippy/AF-Q0SPD9-F1-model_v2.pdb

First NFT owner address (eip-55):

0x35612D34a32C306CA4fc1edA9360D1F717e25950

First NFT owner address (bech32):

genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap

Current NFT ID #502800 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502800
Accession (UniProt):
Q0SPD9
Name::
Probable transcriptional regulatory protein BAPKO_0024/BafPKo_0025
Experimental Method:
Predicted structure
Sequence source:
Borreliella afzelii (strain PKo)

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 Q0SPD9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SPD9|Y024_BORAP Probable transcriptional regulatory protein BAPKO_0024/BafPKo_0025 OS=Borreliella afzelii (strain PKo) OX=390236 GN=BAPKO_0024 PE=3 SV=1 MSGHSKWSTIKRKKGALDAKRNKIFTKLIREITIAAKIGGGDIESNPRLRVAVSKAKVANMPKDNIEKAIKKGIGGNEGVEYFEITYEAYAPYGVALMIKCLTDNKNRTSSDVKSVLAKGGGSLGTPGSVSYMFYRKGLVVYNLEKYLEDEIMEFALEFGAEDILVSNNEAEVITNPDDFDKVLSLLRTKFKEEMAEIALIPENKISLNKEQAEKIILLIEKLEDFDDVQEVIHNLEIPEELS