Q9D903 AF NFT

Probable rRNA-processing protein EBP2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif4c53uk3tahgh4xx5nh63fw7f7hln3utfo5bb4gqzy4jvc3t4xpy/metadata.json
IPFS of structure file: 
bafybeicestyvvt47ay4uppumcobjbvhccry5nmcf7wksfzyd7uizzafmvm/AF-Q9D903-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #109384 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
109384
Accession (UniProt):
Q9D903
Name::
Probable rRNA-processing protein EBP2
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9D903 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D903|EBP2_MOUSE Probable rRNA-processing protein EBP2 OS=Mus musculus OX=10090 GN=Ebna1bp2 PE=2 SV=1 MDTPPLSESDSESDACLASDQELQDAFSRGLLKPGLNVVLEKPKKAVNDVSGLKQCLAEFRRDLEWVERLDVTLGPVPEVSETQPTPQNQDQKKGVNPEDDFQREMSFYRQAQAAVLAVLPRLHQLQVPTKRPTDYFAEMAKSDQQMQKIRQKLQTKQAAMEKSEKAKQLRALRKYGKKVQTEVLQKRQREKAHMMNAIKKYQKGFSDKLDFLEGDQKPVERSAKAGGKGQQMSKGPNAKRRYKNQKFGFGGKKKGSKWNTKESYDDVSSFRAKVAHGKGSRRPGKKGANKRPGKRARQKLKSKAR