Q6NKL7 AF NFT

Chromosomal replication initiator protein DnaA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeich5vn4gkbhuuqdrroiz4ju2rtehsj5jjqmc42l5hjcjqz6brvb6m/metadata.json
IPFS of structure file: 
bafybeielnuwnvxcn6t7qsfkoejip7nqyurdo3bz3mdyedizm2x7fszecwa/AF-Q6NKL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xccC4FB4F7e27ce58a8B5D4D5a0B27999b032ba3c
First NFT owner address (bech32): 
genesis1enz0knm7yl8932946n26pvnenxcr9w3u6h574q
Current NFT ID #99659 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
99659
Accession (UniProt):
Q6NKL7
Name::
Chromosomal replication initiator protein DnaA
Experimental Method:
Predicted structure
Sequence source:
CORYNEBACTERIUM DIPHTHERIAE (STRAIN ATCC 700971 / NCTC 13129 / BIOTYPE GRAVIS)

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 Q6NKL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NKL7|DNAA_CORDI Chromosomal replication initiator protein DnaA OS=Corynebacterium diphtheriae (strain ATCC 700971 / NCTC 13129 / Biotype gravis) OX=257309 GN=dnaA PE=3 SV=1 MWNETWNEITNELIQLSREPESEIPRITAEQRAYLKLVRPAAFVEGIAVLRVPHSRAKETIETHLGQAITSVLSRRMGRPFTVAVTVDPTLDVIQDLPHDVPEQHIVQHHVPEHPHYSPVSQGYPPHYAPEQSEYNTEYSDEYPSGWATYHVQTPQPSQSSQSAQQQPAQRMPDRRRYAEQQQVPQRSEEPVMGQRRAREKPAHDPDRNGSLNPRYTFDTYVVSDSNKLPWSAAWAVAEKPARAYNPLFIWGDSGLGKTHLMHAIGNYAQELDPKLKVKYVSSEEFTNDYINSVRDDRQEAFKRRYRDLDILMVDDIQFLQGKEGTQEEFFHTFNALQQADKQIVLSSDRPPKQLTTLEDRLRTRFQSGLIADIYPPDLETRIAILLNKASAEGITADRDVLELIASRFNASIRELEGAFIRVSAYASLNEAPINMATAQEALRDMMPEQADIEITAGMIMSVTAEYFHIDVDTLKGSGKSRSVAHPRQLAMYLCRELTDLSLPKIGEHFGGKDHTTVMYAYRKIGKEITEKRDTYDEIQQLTQQIKSSDRA