Q65I54 AF NFT

CCA-adding enzyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia26vi4ebftfvidri26azi5my4zqil4pj3ekslbkazr67im5l42yu/metadata.json
IPFS of structure file: 
bafybeiek3t5qd25ycdv6wkrru7ci56yk7z25pkiey74xk6wha4cnvvk5ee/AF-Q65I54-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5789C821eF3e8D61750de197f4929F6643abaaFe
First NFT owner address (bech32): 
genesis127yusg0086xkzagduxtlfy5lvep6h2h742s6r5
Current NFT ID #53928 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
53928
Accession (UniProt):
Q65I54
Name::
CCA-adding enzyme
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 Q65I54 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65I54|CCA_BACLD CCA-adding enzyme 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=cca PE=3 SV=1 MEDLFLKALPLLRELKKHGWQAYFVGGAVRDAQMNRDVGDIDIATDASPEEIEAIFPKTVDVGKEHGTIIVLFEGESYEVTTFRAELEYEDYRRPSGVQFIKSLKEDLKRRDLTINAMAMDEEGRLIDYFGGLRDIRERLIQTVGDPAERFHEDALRMLRALRFMSQLEFELSPNTKKAICENRPLLAHISTERKTVEFEKLLKGKAAGRALEAAAETGLYKELPGLDGKKERVLAARAFPFYQLQKSADIWAAFIHMISINPAEAHRFLKGWKLPGKVIRQALHTAERIDQKWDAVSMYEAGEETLLAASAIRSLRDKQAIDEEQLAEIRQSYQALPIKSLKDLAVSGSDLLNFRKKPAGKWVSDDLKRIERAVLNGELANQKKAIEEWLDSCSQI