Q81FP0 AF NFT

CCA-adding enzyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiava34ohknxfwq2qwdrc5eijed3gys7dpdjgovszv2fag2hcpv6ma/metadata.json
IPFS of structure file: 
bafybeia467umy2sgoxqv5tox2mdpycmy7ibl5xbk5a6fx2g3vh4dm4jbta/AF-Q81FP0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6093F74f42DC9213C26eE4b73317aD6B035893a6
First NFT owner address (bech32): 
genesis1vzflwn6zmjfp8snwujmnx9addvp43yaxnw7vz4
Current NFT ID #53925 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
53925
Accession (UniProt):
Q81FP0
Name::
CCA-adding enzyme
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81FP0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81FP0|CCA_BACCR CCA-adding enzyme OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=cca PE=3 SV=1 MERFKKASSIIETLKQQGHEAYFVGGSVRDLIIDRPIGDIDIATSALPEEVMAIFPRNVPVGLEHGTVIVVENGEPYEVTTFRTESEYEDFRRPSSVQFVRSLEEDLKRRDFTMNAIAMTEEGKMVDLFAGQEAIQQREIVTVGNAADRFQEDALRMMRGIRFVSTLGFSLEMKTKQAIETYGHLLEHIAIERITVEFEKLLTGTYCVKGLKELVETKLFSHLPYLQMSEERLLKATQYKWDSFETDIEAWAFFLYCIGEEHPSVFLRQWKFSNKKIKDIVAVLLTIRTRKEKDWDTVLLYKTGIHIAEMAERVYEAMIERYDPTSVERVQSMFHALPIQERQEMNVTGNDLLNWANKKPGPWVAEMLQKIEEAIVQGNVVNEKERIREWLQGCNLL