Q8FW84 AF NFT

Putative binding protein BRA0576/BS1330_II0571

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiajn2psu2pcjgs46b5ockun7up6ryp3cpick7lgjs7gsr7qvxhje4/metadata.json
IPFS of structure file: 
bafybeidqt4rfent7ul7ka7pn27kzdxdxq4yhbgdypxpq5dnp2bokyge3oy/AF-Q8FW84-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E40D5Ff2B2C3Aa13a3053E7Ff044C0F696c1e58
First NFT owner address (bech32): 
genesis1neqdtlet9sa2zw3s20nl7pzvpa5kc8jcu0akrm
Current NFT ID #515735 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
515735
Accession (UniProt):
Q8FW84
Name::
Putative binding protein BRA0576/BS1330_II0571
Experimental Method:
Predicted structure
Sequence source:
BRUCELLA SUIS BIOVAR 1 (STRAIN 1330)

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 Q8FW84 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8FW84|Y3576_BRUSU Putative binding protein BRA0576/BS1330_II0571 OS=Brucella suis biovar 1 (strain 1330) OX=204722 GN=BRA0576 PE=3 SV=1 MLNRFIAFFRSVFLIGLVATAFGALPARAANETAPDYALSMHGDVALPADYTHFPYTNPDAPKKGSLTVGVVGTFDSLNPFVLKSMRTTARGLYNDGEFGNMVYQTLMLRSRDEPFTLYSLLAEKVAIDPERKWVEFTLNPKAKWSDGQPVTVDDVLFTYDILTEKGRPPYNSRMSRVAKIEKTGERSVRFTFNEKSDREFPMLIAGSMPVLPKHAINRDTFGNSTLEPPIGSGPYVVASVQPGQRIVYKRNPDYWGKDLPSQRGFNNFDKISIEYYRNETSLFESFKKGILDIFIEGNPIRWEKLYDFPAVEQGKVIKDTFEKGTPADMLGFVFNTRRPIFADRRVRQALGLLFDFEWANRNLFAGQYRRTQSFWEGSQLSSVGRPADARERELLAAFPGAVREDVMNGTWHPPVTDGSGHDRVPAKKAYDLLSQAGFQFKDGMAIDPTGKPFAFEIMTRSPDEEKIALAYQRNLSRLGIAVEIHTVDDAQYQQRLQTFDYDMILGALASSLSPGNEQWLRWGSASRDVQGSFNFAGVADPAVDAMIEALLAARNRADFVSAVRALDRVLISGDYYVPLYHLPYQWVARWDRIEHPQKTPLSGYQLPTWWHTSQ