Q7P0F8 AF NFT

Flagellar brake protein YcgR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibux3nfy5fxg2vkzkzut5cumtv3hmzjntyv74l4avg5twv57z4oma/metadata.json
IPFS of structure file: 
bafybeigzifgmnnmiqlakuo7gsillswk5cn7o7imtcq37n4lrske2akanwi/AF-Q7P0F8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #527291 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
527291
Accession (UniProt):
Q7P0F8
Name::
Flagellar brake protein YcgR
Experimental Method:
Predicted structure
Sequence source:
CHROMOBACTERIUM VIOLACEUM (STRAIN ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757)

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 Q7P0F8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7P0F8|YCGR_CHRVO Flagellar brake protein YcgR OS=Chromobacterium violaceum (strain ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757) OX=243365 GN=ycgR PE=3 SV=1 MPASSHQPLDLAKFTLSSPTEIAQHLSNIAKHGHMVTVFANKGKNFILTRLLEVDYQAGVFTFDWGAEEETNTQVLNSERNVFVCSPEGVKTQFVAGQISQVMVDDRPAFQCRLPEQVIKLQRREFFRIQTPLGSPVFCRIGDFNQRSIDLALFDISLGGMSLWLPGIDTPGFDIGQQYLQCSIDLKPFGTLALGIEVRHRLTARMRNGNEAMRIGCSYLNLSAPMETIIQRYVGFLERERRAMVG