A7Z7N6 AF NFT

Septation ring formation regulator EzrA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidawc2zqtwlwrzavnuuejujftlnof2vx2sm6c7rw44shtsaanrvf4/metadata.json
IPFS of structure file: 
bafybeicn5msnaylsfnq63kgjfbb263xyfblfewsoni7dpsri424hkwey2u/AF-A7Z7N6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #122841 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
122841
Accession (UniProt):
A7Z7N6
Name::
Septation ring formation regulator EzrA
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z7N6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z7N6|EZRA_BACVZ Septation ring formation regulator EzrA OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=ezrA PE=3 SV=1 MELVIGLLVILLALFAAGYFFRKKIYTEIDRLESWKIEILNRSIVEEMSKIKHLKMTGETEEFFERWREEWDEIVTAHLPKVEELLYDAEENADKYRFKKANQVLVHIDDLLTAAESNIEGILREISDLVTSEEKSRGEIEQVRERYSKARKNLLAYSHLYGELYNSLETDLDEIWSGIKEFEEETESGNYIKARKVLLEQDRRLDQLQTYIDDVPKLLADCKQTVPNQIAKLKDGYREMTEKGYKLEHIQIEKELDTLTNQVKRAENALLEELDVDEASAILQLIDETIQSMYEQLEGEVEAGQSVLSKMPELIIAYEKLEEEKDRTKTETELVKESYQLTAGEIGRQHAFEKQLETIGRLLEQAREKLDGEHVAYSLLIEEVEAIEKQLEEAQKEHAEYRENLQALRKEELQARETLMHLRKTISDTARMLQKSNVPGIPEQVKDKLETANHHIEETVSQLEELPLNMEEAAKHLDEAEKVVEEVSEEAEDLVIQVKLIERIIQYGNRFRSQNHILSEQLKEAERLFYAYSYNEAYEMAADAVEKAAPGAVKKIKADQSAS