B7IKV4 UDP-N-acetylmuramate--L-alanine ligase MolNFT, Molecular NFT on GenesisL1

UDP-N-acetylmuramate--L-alanine ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeietxqqcaxjnxuuu32wopsbkgtibsnyh7uaa7coawdajlkek2gihei/metadata.json

IPFS of structure file:

bafybeia77f7wczv7dm3cyhvoa53bgyrrviskrovnprnfv5nxmod5t7o6mu/AF-B7IKV4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6961B4b07eE2C5156c6Be063Bd561aE781B2875d

First NFT owner address (bech32):

genesis1d9smfvr7utz32mrtup3m64s6u7qm9p6a4mp3cq

Current NFT ID #250741 owner (web3):

0x9cB2a82c26C1c5E687c7AB3603b7c6C591B313c6

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
250741
Accession (UniProt):
B7IKV4
Name::
UDP-N-acetylmuramate--L-alanine ligase
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain G9842)

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 B7IKV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7IKV4|MURC_BACC2 UDP-N-acetylmuramate--L-alanine ligase OS=Bacillus cereus (strain G9842) OX=405531 GN=murC PE=3 SV=1 MTVYHFVGIKGTGMSSLAQILHDMKHTVQGSDYEKRFFTQTALEKRSISILPFDKNNVEEGQVIIAGNAFPDTHEEIVAAKELNIPVHRYHHFLGDLMSQYTSVAVTGAHGKTSTTGLLAHVMQGAHPTSYLIGDGTGHGVENSKYFVFEACEYRRHFLSYNPDYAIMTNIDFDHPDYFADINDVFSAFQEMALQVKKGIIACGDDEELQKIQAKVPVIFYGFGEDNDFQARNIQKRTDGTIFDVFVRNTYYDTFKITGYGNHSVLNALAVIALCHYENVDVEAVKHQLTTFEGVKRRFNEKPMGEQVIIDDYAHHPTEINATIEAARQKHPEREVVAVFQPHTFSRTEKFLDEFAESLSKADQVYLCDIFGSARENKGELTIEDLQKRIDGAELITDTTTDVLKKHKNGVLIFMGAGDIQKFEAAYVKEVQVAEK

B7IKV4 AF NFT

MOLNFT AF v1

NFT data

MOLNFT B7IKV4 research and analysis (ICN3D with VR)

FASTA sequences

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