Q9RT62 AF NFT

DegV domain-containing protein DR_1903

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaybnqzpggonc7iitbpftwjfzqhuu6e2vdz4iqrzec3zalwa3uiru/metadata.json
IPFS of structure file: 
bafybeicannysfzlcwiwtybs4v3gf422elnp5ejasq3xngjl3vlreee7nzi/AF-Q9RT62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7Da715D0e1613a441fC7E6dC49611D7Aa50e31AD
First NFT owner address (bech32): 
genesis10kn3t58pvyayg878umwyjcga02jsuvddaze6pl
Current NFT ID #509940 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509940
Accession (UniProt):
Q9RT62
Name::
DegV domain-containing protein DR_1903
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 Q9RT62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RT62|Y1903_DEIRA DegV domain-containing protein DR_1903 OS=Deinococcus radiodurans (strain ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422) OX=243230 GN=DR_1903 PE=3 SV=1 MIAVTTESTADILPLQLGYSGIHLLPVPLGHQGQVYSERELPPDQLVNLIRTTGEPARTLAIDDEVVARTFEAALQGSKSGRLVHVASGSRFTPHFEVAARVAGQFGVRVQVIDGGTVSYALGVQALHAAHLADQGADFGQIARALAELRERTLLTFAVESLDFLRVNGRIGNVAAFIGNWLGLRPLLAVEAGEVVSKARVRGQAAAVRTLLSATHQFQHQTGETLRLYCGHTIGGEGAAEQLQGQLQAVYRDLPAPLHPLGSGLTANVGPGVVAVLAFPRRFGLGHA