Q3IZJ9 AF NFT

UPF0178 protein RHOS4_24670

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihfhtcshnpon7mjh3pcw2djqip7i3m7tvuhfn6llv2sqyflp2wmbq/metadata.json
IPFS of structure file: 
bafybeiebwontdrsygwym7wtwrrk5jyvfjte3dpdu6l2ux2l5cm7sl2lpf4/AF-Q3IZJ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF9712C8b39bAA978803c4F86751462468AC3FD98
First NFT owner address (bech32): 
genesis1l9cjezeeh25h3qpuf7r829rzg69v8lvcvg9zyn
Current NFT ID #512488 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
512488
Accession (UniProt):
Q3IZJ9
Name::
UPF0178 protein RHOS4_24670
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.)

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 Q3IZJ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3IZJ9|Y2467_CERS4 UPF0178 protein RHOS4_24670 OS=Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.) OX=272943 GN=RHOS4_24670 PE=3 SV=1 MTDLYIDADACPVKAEAERVAVRHGVRMFLVSNGGIRPPAHPLVESIFVPEGPDVADMWIADRARTGDVVVTSDIPLAAKVVAAGALVVKPNGETLTQANIGNALATRDLMADLRSADPFRQGGGRPFSKADRSRFLDALERAMRKAQEAGRSASGGNEAGS