Q9BE45 AF NFT

NF-kappa-B inhibitor zeta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic73yxqano3p5kkvv64q4pycpzlltoyzng3uqc4azlef4bkg6xoke/metadata.json
IPFS of structure file: 
bafybeieapwle4q7qlzcxuzwgvfgb6ei5t3lg6vmbgbovenwh4mmd5tvs3a/AF-Q9BE45-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #187568 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
187568
Accession (UniProt):
Q9BE45
Name::
NF-kappa-B inhibitor zeta
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 Q9BE45 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9BE45|IKBZ_BOVIN NF-kappa-B inhibitor zeta OS=Bos taurus OX=9913 GN=NFKBIZ PE=2 SV=2 MIVDKLLDDSRGGEGLLDAAGDCGLMTSPLNLAYFYGASPPAAAPGACDGGCSASGPSAPGSPGSDSSDFSSASSVSSCGAVESRPRGGARAERLQVEPHMGVVRQQRGPFQGVRVKNSVKELLLHIRSHKQKASGQAVDDFKTQSVNREQFTELKNTVSYSGKRKGSDSLSDGPACKRSALLHTQFLTPPQTPTPAESMEDVHHNESKQDSCADLLQNIINIKNECSPVSLNTVQVSWMSPGEVPQGSPHEQCQDLHRGQVFSPPQKYQPFQVSSSPHMMDQASMYQYSPQNQSVQPPPQHYTHNPALEYSPYSRTSQSPSYEPHLFGREPQFCPDQSFAPLLSDPRQSENIAVPPQTAPSVQQQIDTHLQNFSLMPPDTCEALARPDASSTPLSTPLPFPNLGGNPMSTTQLGKSFFQWQVEQEENKLANISQDQFLSKDADGDTFLHIAVAQGRRALSYVLARKMNALHMLDIKEHNGQSAFQVAVAANQHLIVQDLVTLGAQVNTTDCWGRTPLHVCAEKGHSQVLQAIQKGAAGSNQFVDLEATNYDGLTPLHCAVLAHNAVVHELQRNQQPHSPEVQELLLKNKSLVDTIKCLIQMGAAVEAKDRKSGRTALHLAAEEANLELIRLFLELPSCLSFVNAKAYNGNTALHVAASLQYRVTQLDAVRLLMRKGADPSTRNLENEQPVHLVPDGPVGEQIRRILKGKSIQQRAPPY