Q65EH2 AF NFT

Probable cell division protein WhiA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5ionabwpdgh43d3eantbjj7sy6o2ay2q36ce2p2ylo2q2lotfiu/metadata.json
IPFS of structure file: 
bafybeihbu5bjyaguem2qcho7ivljqb7xwibtvzkyuj6z2vdfgi645l73k4/AF-Q65EH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #499631 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
499631
Accession (UniProt):
Q65EH2
Name::
Probable cell division protein WhiA
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 Q65EH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65EH2|WHIA_BACLD Probable cell division protein WhiA 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=whiA PE=3 SV=1 MSFASETKKELTNLEVKDCCAKAELSALIRMNGSLSFSNRKVVLDVQTENAAIARRIYTLLKKQYDVSVELLVRKKMRLKKNNVYIVRLIENAKPILEDLKILGDNFVIARNISEDLVKKRCCKRSYMRGAFLAGGSVNNPETSSYHLEIFSLYKEHNDSLCRLMNQFHLNSKTLERKKGYITYLKEAEKITEFLNVIGAHNSLLRFEDVRIVRDMRNSVNRLVNCETANLNKTIGASLRQVENIKLIDERIGLDALPEKLREIAQLRIDYQEVTLKELGEMVSSGKISKSGINHRLRKLDEIAEQLRSGQSVSLK