Q65I80 AF NFT

Cell cycle protein GpsB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidphltcwsaylai2zsqdkbo2evegygmnnux6fqqrmt2rx54thrbch4/metadata.json
IPFS of structure file: 
bafybeiem4xcnlrlh2cgkrnh3mt7bcswmhts576elhz4oa2ss6bpovk77ci/AF-Q65I80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa74517540f4ceC1808eDa8901A29595B23632846
First NFT owner address (bech32): 
genesis15az3w4q0fnkpsz8d4zgp522etv3kx2zx77vc0k
Current NFT ID #157375 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
157375
Accession (UniProt):
Q65I80
Name::
Cell cycle protein GpsB
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65I80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65I80|GPSB_BACLD Cell cycle protein GpsB OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=gpsB PE=3 SV=1 MLADKVKLSAKEILEKEFKTGVRGYKQEDVDKFLDMVIKDYEAFHQEIEELQQENLQLKKQLEEANKRQPAQSNTTNFDILKRLSNLEKHVFGSKLYD