Q9RUF1 AF NFT

Putative gluconeogenesis factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifyen37w5qwhsx4yffysb4mi2bphvfcezpdqwctxjhvdsh2rgcuou/metadata.json
IPFS of structure file: 
bafybeihduzwwcz5na6c67t4eokojaxjqqah4lpe5dnsul5ok7wlvzvyoaq/AF-Q9RUF1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #154700 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
154700
Accession (UniProt):
Q9RUF1
Name::
Putative gluconeogenesis factor
Experimental Method:
Predicted structure
Sequence source:
DEINOCOCCUS RADIODURANS (STRAIN ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422)

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 Q9RUF1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RUF1|GNGF_DEIRA Putative gluconeogenesis factor OS=Deinococcus radiodurans (strain ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422) OX=243230 GN=DR_1435 PE=3 SV=1 MSAPPAPPPDRSAPPDRTDSAQTEPTRPLVRRARRARMWLEPGLGVKRWIFLFVVCTFVGAVAFLHFTWTGPLHPLATKWILWLNQFAEPGVFPLYAVGMVVMALALAGALYSITMISRAMLRGTGTAPETAVNVLYERKTLSRGMRVVTVGGGTGLSNLLTGLKTHSSNITAVVTVADDGGSSGRLREALDMVAPGDLTDCYAALSESPALARLLLHRFGRGEGLEGHTFGNLLLATLSEERGGLGTAMQDIHEILKVRGRVYPATTRPVTLVAELADGRTIRGESRFAEQIRPSRIERVRLEPENPSALTQVLEAVRDAEMIVLGPGSLFTSIIPALLIPDIARAVRESPAPVVYVASLMTEPGETDGLSLSDHVNAITRHLGRTPDWVLLSNSKIEPAVQRRYQQEGATVLTLDGAGRDLRGRVRFAPLIQAGTARHDPQKLAAALMQLWDGPPRRFSLPGQRD