Q255W7 UDP-N-acetylmuramoylalanine--D-glutamate ligase MolNFT, Molecular NFT on GenesisL1

UDP-N-acetylmuramoylalanine--D-glutamate ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigokb5dfbyg3ansvrqku3tz55nxhkwefev2oltpww3xutdumf3uqu/metadata.json

IPFS of structure file:

bafybeidkdc6al4st5ecatrockjsxgchhdyifvz4eyq4gy47ipabg3ag6ey/AF-Q255W7-F1-model_v2.pdb

First NFT owner address (eip-55):

0x88619Af48ae27e0a14d5caEcee59E5Cc8a1B0DB1

First NFT owner address (bech32):

genesis13pse4ay2uflq59x4etkwuk09ej9pkrd3avh0u7

Current NFT ID #251481 owner (web3):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
251481
Accession (UniProt):
Q255W7
Name::
UDP-N-acetylmuramoylalanine--D-glutamate ligase
Experimental Method:
Predicted structure
Sequence source:
Chlamydia felis (strain Fe/C-56)

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 Q255W7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q255W7|MURD_CHLFF UDP-N-acetylmuramoylalanine--D-glutamate ligase OS=Chlamydia felis (strain Fe/C-56) OX=264202 GN=murD PE=3 SV=1 MNHQRVVVLGAGVTGKSAAEFLHKKGDFVIGIDGSWDALISCNFFHQRYLDKTENFPEDVDLFVRSPGIKTSHPLVIEAKRRDIPIVTDVQLAFQSPEFYQYPSLGITGSTGKTTTVLFLVHLLHSLGISAFAMGNIGFPILQAMYQKGVRVVEISSFQLTEQEQKIPVLSGAAILNISENHLDYHQTLHAYSEAKMNIAKCLQWPDSLWSGEGVSSGRSYLEYTEEIDSVLDKGGALKPLYLHDRNNYCAAYALAKEVTSVPLEAFLQAVQTFEKPPHRIEYLGEKDGVRYINDSKATTMSSVEKALMAVKENVIVIMGGRNKESNFTSLIPVLTQTVKHIVAMGECRKEIAQALSSSLPLTQARDLQEAVSIAQSIAQPGDVILLSPGCASFDQFRSFEERGDCFRQLVGDMEALKI

Q255W7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q255W7 research and analysis (ICN3D with VR)

FASTA sequences

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