Q65G95 AF NFT

Dephospho-CoA kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidj6j3zrfdr3xbfui6wyoofsatqgwolfstk7xllcbofn25g3y4b4y/metadata.json
IPFS of structure file: 
bafybeibzut5yhtn23stroivifs5tncnojmyd7ssy4givyvhnrguyagdlru/AF-Q65G95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6C482d01F32F98784942cF1f954fA8aEba65C2c1
First NFT owner address (bech32): 
genesis1d3yz6q0n97v8sj2zeu0e2nag46axtskp222ftr
Current NFT ID #70055 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
70055
Accession (UniProt):
Q65G95
Name::
Dephospho-CoA kinase
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 Q65G95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65G95|COAE_BACLD Dephospho-CoA kinase 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=coaE PE=3 SV=1 MTLVIGLTGGIASGKSTVAQMFQQCGITVVDADVIAKEAVEQGMPAYQKIAETFGEGVLLETGDIDRRKLGEIVFANEEKRLQLNAIVHPEVRKMMIKQRDEAIRAGERFVVLDIPLLYESGLEHLTDKVIVVWVPMELQLERLMKRNRLNKDEALNRIHAQQSLDEKKKRADAVIDNSGSLKDTEAQLHQLLDTWSNIEK