Q0DVX2 AF NFT

DEAD-box ATP-dependent RNA helicase 50

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibkeybklidal3ixkrsiyjlo3hrogaj7jst3pq2c4ciaut3xnfu5x4/metadata.json
IPFS of structure file: 
bafybeihy5c2ipj7nhtew3ewxnntexh5uopnqcqvd2bdvmelnj2jhgjklgq/AF-Q0DVX2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa74517540f4ceC1808eDa8901A29595B23632846
First NFT owner address (bech32): 
genesis15az3w4q0fnkpsz8d4zgp522etv3kx2zx77vc0k
Current NFT ID #341906 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
341906
Accession (UniProt):
Q0DVX2
Name::
DEAD-box ATP-dependent RNA helicase 50
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 Q0DVX2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0DVX2|RH50_ORYSJ DEAD-box ATP-dependent RNA helicase 50 OS=Oryza sativa subsp. japonica OX=39947 GN=Os03g0108600 PE=2 SV=2 MEVAGAQAGILPLLLRHPASLRGSLSLSCGGARRSWAAAAATAEGGGGEEGRGYERVPMDTPGAYRLVDRATGRSVIVWGGTDDVSMPSPAVLSTTTRVPDRPKENGRSTSIGNFGRLKAQKVKVLARRSAHLKREDSGRISTSRFSESPSDESDEDGTYFERDRARNTRQNSRSRDDKTRGAHSLNSVLRQYRGADDLDFPGSEATSGSKRWGNISDVTFGRQNQRQKGPLDSGFFSRRSFKEIGCSDEILGALRSFGFPRPSHIQAMAYRPVLEGKSCIIGDQSGSGKTLAYLCPVVQNLRKEEVEGLHRSSPRNPRVVVLTPTAELASQVLNNCRSISKSGVPFRSMVATGGFRQKTQLESLDQELDVLIATPGRFLYLLQEGFVQLNNLRCVVLDEVDILYGEESFEQVLHQLITVAPLTTQYLFVTATLPLDIYNKVVETFPDCELIMGPGVHRTSSRLEEILVDCSGDDNEEKNPETAFSNKKSALVKIIEESPVRKTIIFCNKIETCRKVENALRRVDRKASQIKVLPFHAALDQQQRIANIKEFLNKQTADSMFLVCTDRASRGIDFANVNHVVLFDYPRDPSEYVRRVGRTARGASGNGKAFVFAVGKQVSLARRVMERNIKGHPLHDVPCV