Q9RWG3 AF NFT

Uncharacterized protein DR_0705

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifqvwd4xcrmqitcx43ynd6emfwughxowt7o23bun54kmiy4yffeqm/metadata.json
IPFS of structure file: 
bafybeicp66h2yx5eysiwza2ahdum5z4okcagx3kaj3n4obzqdl4db27gbi/AF-Q9RWG3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #521052 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
521052
Accession (UniProt):
Q9RWG3
Name::
Uncharacterized protein DR_0705
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 Q9RWG3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RWG3|Y705_DEIRA Uncharacterized protein DR_0705 OS=Deinococcus radiodurans (strain ATCC 13939 / DSM 20539 / JCM 16871 / LMG 4051 / NBRC 15346 / NCIMB 9279 / R1 / VKM B-1422) OX=243230 GN=DR_0705 PE=4 SV=1 MKPLLCSLLLLSACAGPSEPQASGAGPAQTPPPVTVPMTPPSKKPALSAVQHWGVQLTGYGQTRLNAVHTSPFELVVVDPFDDDGTPWPAAEVRAAAQGRWLIAYLSMGAAESYRSYWQKGWKVGAPAWLLNEDPDWPGNFDVAYWDPAWQAIALAQLDRVIAQGFDGVYMDLIDAYQRHDNRPGARAEMVAWVCKIAAHARAQNPQFVIIPQNAAELIRDPGYAACVDASGNEETYVYAANRPTEAARQRELLASYRLWQQAGKPVFTIEYANQPALMKSAAERARAAGLIPYVGERSLDKLILNQP