Q7S2L7 AF NFT

Nucleolar protein 12

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigs52reyzm2y3oduyay33pmxz4bbmh3stfkw5wtpnaqz6fpdju3qu/metadata.json
IPFS of structure file: 
bafybeic5mjy5nvqr3kwk6tiy5vkqztfiaudqtnyl36onm4pjpmxtjipumm/AF-Q7S2L7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa831C76567ab5Ce2A6f939FeB7621484110DAbD2
First NFT owner address (bech32): 
genesis14qcuwet84dww9fhe88ltwcs5ssgsm27j46v9n3
Current NFT ID #267215 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
267215
Accession (UniProt):
Q7S2L7
Name::
Nucleolar protein 12
Experimental Method:
Predicted structure
Sequence source:
NEUROSPORA CRASSA (STRAIN ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)

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 Q7S2L7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7S2L7|NOP12_NEUCR Nucleolar protein 12 OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=nop-12 PE=3 SV=1 MGKTKGLVAPVKKVDPSLDALFATSVGPAKPRPAAKYSEPLPTKSKKAPVPSKKEEDVQDEGDDEELSELDEEYDSEVGIGEDDEDDEAEDNSDSEDEAVATLEVVVEQGKVPEEDGPKRKRKQPDQHDNLEHKYLSKLAEDDEEPAGKRLKADEQSGEKKDTAKAEKKDDDDSESADEVPVHESLAPDAAQNEIEKANRTVFLSNVAVEAVTSRSAKKALMKHMASVLDKEAKPAQKVESIRFRSTAFATAAIPKRAAYIKKSVMEATTKSTNAYVVYSTPAAARLACSKLNGTIVLDRHIRVDSVAHPAPVDHKRCVFVGNLGFVDDETVLQVKVDEDGKEVTEKKKRTKQPMDVEEGLWRVFGKEGGKVESVRVVRDPVTRVGKGFAYVQFCDENAVESAILLNGKKFPPMLPRELRVSRCKAPHKTLRAIEAKKLKAQGAVPETMKKGNNGKKGPGSKKSDYAPKISAEAKTIAGRAEKLLGKFTARQVIGSDKKKTFNKQDRYQANQRRNHASGANTEATGPRVPGAYKSPESFILEGKRASAADGKPKDLKFKGAKKNKAPNAGGGKKKTGRAAARASKWKVQGKGKK