Q65NQ9 AF NFT

Peptidoglycan DL-endopeptidase CwlO

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiduhdhishss2i4nj3fy66dixkamnyocvisf4imr6fqryxh55xnvte/metadata.json
IPFS of structure file: 
bafybeihfoi4oyr35ythoxnbj7mtgtuxe2hrpwhofkih3t3aknbmwhcn7ay/AF-Q65NQ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc0F878C3f3E2a1874e2A6daC80d429e553DdB0D5
First NFT owner address (bech32): 
genesis1cru83slnu2scwn32dkkgp4pfu4famvx4x7nssv
Current NFT ID #81552 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81552
Accession (UniProt):
Q65NQ9
Name::
Peptidoglycan DL-endopeptidase CwlO
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 Q65NQ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65NQ9|CWLO_BACLD Peptidoglycan DL-endopeptidase CwlO 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=cwlO PE=3 SV=1 MKKKVYTFGLASILGTASLFTPFMNNTASAETSQQKQEIQQKRSEVNSGIESKRKEIAKLQDEQKKLEGKIQELDKKALETSNKIEDKEKENKKTKKEVEALKKEIKETEKRIEERSKVIKNRVRSLQENGGSQNYLNVLLGAQSFGDFITRATAVSTIVDADKDLLDEQEKDKNKLEKAMSDLNTKLDEIQKTLADLKTLKSDLDKQLKEQANLSKQLQTKQAAAESELSDLKKEAGSLTKEEAALEQKLKEERAAAAAAAKAKEESATAEKSDSGSSSSSNSGSVSKSDGSSNSGSSSSKKSSSPSRNYSSGSVVSSNGNAIEAAISTGSSIVGRSPYKWGGGRSQADIDNRRFDCSSFVRWAYASAGVELGFGATTSTLVGKGRAVSASEMKRGDLVFFDTYKTNGHVGIYLGNGTFLNDNSSRGVSVDSMSNPYWKKAFNGVVRRVVE