P12965 AF NFT

Serine/threonine-protein kinase mos

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif4gsfnwsnfxmwprlgcl67tfomxe3wl7azc5b2dvnpeiml2fl7mvm/metadata.json
IPFS of structure file: 
bafybeidz3rjx74rqcrudd325urwaifpawlvxxlrtvm4md6qhuc5cyjdmhi/AF-P12965-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeE934C3A4c07a821E9b8c1A7Af05E3888c957ce8
First NFT owner address (bech32): 
genesis1a6f5cwjvq75zr6dccxn67p0r3zxf2l8gh7xlnh
Current NFT ID #241723 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
241723
Accession (UniProt):
P12965
Name::
Serine/threonine-protein kinase mos
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 P12965 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P12965|MOS_XENLA Serine/threonine-protein kinase mos OS=Xenopus laevis OX=8355 GN=mos PE=2 SV=1 MPSPIPVERFLPRDLSPSIDLRPCSSPLELSHRKLPGGLPACSGRPRLLPPRLAWCSIDWEQVLLLEPLGSGGFGSVYRATYRGETVALKKVKRSTKNSLASRQSFWAELNAARLRHPHVVRVVAASASCPGDPGCPGTIIMEYTGTGTLHQRIYGRSPPLGAEICMRYARHVADGLRFLHRDGVVHLDLKPANVLLAPGDLCKIGDFGCSQRLREGDEAAGGEPCCTQLRHVGGTYTHRAPELLKGEPVTAKADIYSFAITLWQMVSRELPYTGDRQCVLYAVVAYDLRPEMGPLFSHTEEGRAARTIVQSCWAARPQERPNAEQLLERLEQECAMCTGGPPSCSPESNAPPPLGTGL