Q7P259 AF NFT

Chromosomal replication initiator protein DnaA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidkiheqtoa47j3yyrw5j3rilboo4rmr4r5g6tv6fgsxofeoeoivym/metadata.json
IPFS of structure file: 
bafybeihg5wuiaqynw6lf6d5ohr6vgh33rvrgmk7mmlfgju5sdttopqsrf4/AF-Q7P259-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA722eA6E71d03bAe87Bd6148797813D88FAe94D0
First NFT owner address (bech32): 
genesis15u3w5mn36qa6apaav9y8j7qnmz86a9xs5wdgwz
Current NFT ID #99636 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
99636
Accession (UniProt):
Q7P259
Name::
Chromosomal replication initiator protein DnaA
Experimental Method:
Predicted structure
Sequence source:
CHROMOBACTERIUM VIOLACEUM (STRAIN ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757)

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 Q7P259 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7P259|DNAA_CHRVO Chromosomal replication initiator protein DnaA OS=Chromobacterium violaceum (strain ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757) OX=243365 GN=dnaA PE=3 SV=1 MTELDQFWPACLARLEAELSSQQFNTWIKPLTAEAGDEGIALFAPNRFIMQFIKDRFLPRIEELAVELVGELPVELRLGAPTARPAAPVAGNSQPKAKEPAKAAASAPAAPSPAKQAAVKAIGGSHESTRLNPSFTFDTLVTGKGNQLARAAAMQIAENPGDQAYNPLFVYGGVGLGKTHLIQAIGNHVFQKNPQAKIRYIHAERYVADIMRAYQHKAFDEFKRYYHSLDLLLIDDIQFFAGKNRTQEEFFYAFNALIEGGKQVIMTCDSYPKQIEGMEERLISRFSWGLTVEIQPPELEMRVAILMKKAEADSIKLEHNVAFFIAQNVRSNVRELEGALKRVVAYARFTSQNITLELVKEALKDILAAGNRQVTVDAIQKTVAEYYKIKLSDMHSKKRSRDIARPRQVAMALAKELTQLSLPNIGDAFGGRDHTTVLHACKTITEMRASDADIAHDYEALLSMLRN