Q7VUW3 Anhydro-N-acetylmuramic acid kinase MolNFT, Molecular NFT on GenesisL1

Anhydro-N-acetylmuramic acid kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibyswc2fx4cwuo7aqrqxqrfrdpaf5kv6kt7pgd7ft4fucowrhh3oy/metadata.json

IPFS of structure file:

bafybeigctrlcughf3cv23x2rls5h7rjtdwmzbt6tbkcaaqu4yhxr2mxlla/AF-Q7VUW3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x29f928A539587e32C04DF7AaE14EcA8425395917

First NFT owner address (bech32):

genesis198uj3ffetplr9szd774wznk2ssjnjkghhuftmg

Current NFT ID #16511 owner (web3):

0x56071EB6171562445b8c56A46E20FbFb873E3C4d

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16511
Accession (UniProt):
Q7VUW3
Name::
Anhydro-N-acetylmuramic acid kinase
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PERTUSSIS (STRAIN TOHAMA I / ATCC BAA-589 / NCTC 13251)

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 Q7VUW3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VUW3|ANMK_BORPE Anhydro-N-acetylmuramic acid kinase OS=Bordetella pertussis (strain Tohama I / ATCC BAA-589 / NCTC 13251) OX=257313 GN=anmK PE=3 SV=1 MDSTTHGPRTHVPGRLFIGLMSGTSMDGADGVLVRLDGPRPEVLASASLPMPAALRDELFALNHAGANELERAALAANGLARLYARAVRQLLDQAGLQPGDVAAIGAHGQTVRHRPDLGYTLQLNAPALLAELAGIDVVADFRSRDVAAGGQGAPLVPPFHAALFAGGQARAVLNLGGIANVTLLEPGRPPRGFDTGPANVLLDAWCQRHTGQPYDADGRFAAQGQVLADLLEHLIASEPWFALAPPKSTGRDLFNLDWLLARLQAFDGPAPQPQDVQATLQRLTARTVANAIDASAAAPRDVLVCGGGARNPGLMRELAYCLQRPVRPTDDAGVPAQWVEALAFAWLAQACLDRIPAGLPTVTGARAARVLGALYPA

Q7VUW3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q7VUW3 research and analysis (ICN3D with VR)

FASTA sequences

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