D4AXL1 AF NFT

Beta-lactamase-like protein ARB_00930

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibzt7uinm7tyrfxyaolel2hcp2leyyi6r37e3i6meqyu6cfiwf7i4/metadata.json
IPFS of structure file: 
bafybeihzwusvcybbmzoa2sytyptk7uisdmvkv2qodhr23mrzzqaooyhnye/AF-D4AXL1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9C1d9684E0Dac12a3E69D82455a213DfEC3CD43e
First NFT owner address (bech32): 
genesis1nswedp8qmtqj50nfmqj9tgsnmlkre4p7hdnm78
Current NFT ID #45085 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
45085
Accession (UniProt):
D4AXL1
Name::
Beta-lactamase-like protein ARB_00930
Experimental Method:
Predicted structure
Sequence source:
Arthroderma benhamiae (strain ATCC MYA-4681 / CBS 112371)

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 D4AXL1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D4AXL1|BLML_ARTBC Beta-lactamase-like protein ARB_00930 OS=Arthroderma benhamiae (strain ATCC MYA-4681 / CBS 112371) OX=663331 GN=ARB_00930 PE=1 SV=1 MVVCFLWLLLPYAATTLSASVPGCVPSGALLPRPTELSQSQNIKDATERLSRSLDDAVSGRIKAGWDIANTSFSVSIVSPNGGDPRTGVLWEYHHLAEKNINGTKHLDGDSQYLIGSVSKIFSDLLLLKSDVDLQDPITKYLPQLKNASSPIDWDNISLLSLSEHLSGIPANTIGALQFYFLEPLYRALGFPPLNKTDYPPCGIADLNKGCTPEELLTELVNSHPVSEPYERPVYSQLSFTLFSLALANDTGKDYAQMLEEQVIRPLNLRNTGVSPGEDKRAVIPNVEQQGWGADYGYNAPGGGLYSSLNDLSTLVTKILDYSILQNPQATKKWLQPRSATSSLNTLVGQPWEILRTSGMTPKYPHMIDIYGKSGGAPGYISQINVIDQYGVGVVLSTAGPLDSRAAYIINEAVLSAILPAVEDEARKQAGMYVGEYTSQKVDNEDATDYAPIKLKTVIDNGTGIKLESLSRNDSDILEGIRKVWSATLSTVGQLASEMRVYPTGLERLATNDKSLVEQDWRINFDLIPNFNEQASDLPGLGKLEALCTSWQTVDWLYYAGVPMDRIVFIVDKEAGRVVGVEIPFLRSGIIQKLN