P97452 AF NFT

Ribosome biogenesis protein BOP1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5q5ia2ndso2wd2wgvyw4j56xok7df57twihpq73lee4keo7efla/metadata.json
IPFS of structure file: 
bafybeibdpc52pil3nkyvy6maxxz4mj5zckhmvmtapyu6slx7cjfjowcwpq/AF-P97452-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0f37847a42b14695A11f653ea084b927d968484F
First NFT owner address (bech32): 
genesis1pumcg7jzk9rftgglv5l2pp9eylvksjz05evvp8
Current NFT ID #45520 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
45520
Accession (UniProt):
P97452
Name::
Ribosome biogenesis protein BOP1
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 P97452 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P97452|BOP1_MOUSE Ribosome biogenesis protein BOP1 OS=Mus musculus OX=10090 GN=Bop1 PE=1 SV=1 MAGACGKPHMSPASLPGKRRLEPDQELQIQEPPLLSDPDSSLSDSEESVFSGLEDLGSDSSEEDTEGVAGSSGDEDNHRAEETSEELAQAAPLCSRTEEAGALAQDEYEEDSSDEEDIRNTVGNVPLAWYDEFPHVGYDLDGKRIYKPLRTRDELDQFLDKMDDPDFWRTVQDKMTGRDLRLTDEQVALVHRLQRGQFGDSGFNPYEPAVDFFSGDIMIHPVTNRPADKRSFIPSLVEKEKVSRMVHAIKMGWIKPRRPHDPTPSFYDLWAQEDPNAVLGRHKMHVPAPKLALPGHAESYNPPPEYLPTEEERSAWMQQEPVERKLNFLPQKFPSLRTVPAYSRFIQERFERCLDLYLCPRQRKMRVNVDPEDLIPKLPRPRDLQPFPVCQALVYRGHSDLVRCLSVSPGGQWLASGSDDGTLKLWEVATARCMKTVHVGGVVRSIAWNPNPTICLVAAAMDDAVLLLNPALGDRLLVGSTDQLLEAFTPPEEPALQPARWLEVSEEEHQRGLRLRICHSKPVTQVTWHGRGDYLAVVLSSQEHTQVLLHQVSRRRSQSPFRRSHGQVQCVAFHPSRPFLLVASQRSIRIYHLLRQELTKKLMPNCKWVSSMAVHPAGDNIICGSYDSKLVWFDLDLSTKPYKVLRHHKKALRAVAFHPRYPLFASGSDDGSVIVCHGMVYNDLLQNPLLVPVKVLKGHTLTRDLGVLDVAFHPTQPWVFSSGADGTIRLFS