Q0E079 AF NFT

Probable bifunctional riboflavin biosynthesis protein RIBA 2, chloroplastic

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaeq2eb2ijjadkuqi5o5mbl42yakwn43mcofzzp7rwqbqekwfcscm/metadata.json
IPFS of structure file: 
bafybeia4ncmlvyfgz2n3smz64gduw6kd6kvbcum3y3e3ktznecu52cn4da/AF-Q0E079-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2bF85003001845aBBb5157E430B59466805f04aE
First NFT owner address (bech32): 
genesis190u9qqcqrpz6hw632ljrpdv5v6q97p9wh8rwqw
Current NFT ID #343106 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
343106
Accession (UniProt):
Q0E079
Name::
Probable bifunctional riboflavin biosynthesis protein RIBA 2, chloroplastic
Experimental Method:
Predicted structure
Sequence source:
ORYZA SATIVA SUBSP. JAPONICA

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 Q0E079 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0E079|RIBA2_ORYSJ Probable bifunctional riboflavin biosynthesis protein RIBA 2, chloroplastic OS=Oryza sativa subsp. japonica OX=39947 GN=RIBA2 PE=2 SV=1 MASISPTSSSVAALRGHPVQFVKGGAVSKEAKGSISFSPVANSNNANVKFTGLRVAASLKRDGAFPGDGYSGNDNTVLPKSTSVRGQDYPTADSVLPTESIIVPEISNAGLKCVADMFSDEDKDTEQDLDSPTEGFSSISEAIKDIQQGKLVIVVDDESRENEGDLIMAASLVTPEAMAFVVRYGTGIVCVSMKEEDLERLNLPLMVATKENEEKLCTAFTVTVDAKEGTTTGVSAKDRAKTVMTLASPDSKPEDFNRPGHIFPLKYREGGVLKRAGHTEASVDLAMLAGLPPAAVLCEIVDEDGSMARLPKLRVFAERENLKIVSIADLIRYRRKRDRLVERSSVARLPLRWGNVRAYCYRSVIDGIEHIAMVKGEIGDGQGVLVRVHSECLTGDIFGSARCDCGDQLAMAMEMIEKAGRGVLVYLRGHEGRGIGLGHKLRAYNLQDDGRDTVEANEDLGLPVDSREYGIGAQILRDLGVRSMKLMTNNPAKYGGLKGYGLSIVGRVPLVTPITSENRRYLETKRTKMGHVYGLANGQASHQTGSNGAKGEH