P9WG40 AF NFT

Acetolactate synthase large subunit IlvB1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidel7rtjkorm7yjj7zfi5l7orlbvxo6bwfvrxq5dy46dwgzo2zszy/metadata.json
IPFS of structure file: 
bafybeif7j3qvnisrdjqqan7hck6l2hxe2hzeqbpu4drr3onbwy4xmrsowy/AF-P9WG40-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd7BceDA0b55dbEde1C94d30aA0d6409be898E5bF
First NFT owner address (bech32): 
genesis1677wmg94tkldu8y56v92p4jqn05f3edleu47mg
Current NFT ID #188213 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
188213
Accession (UniProt):
P9WG40
Name::
Acetolactate synthase large subunit IlvB1
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WG40 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WG40|ILVB1_MYCTO Acetolactate synthase large subunit IlvB1 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=ilvB1 PE=3 SV=1 MSAPTKPHSPTFKPEPHSAANEPKHPAARPKHVALQQLTGAQAVIRSLEELGVDVIFGIPGGAVLPVYDPLFDSKKLRHVLVRHEQGAGHAASGYAHVTGRVGVCMATSGPGATNLVTPLADAQMDSIPVVAITGQVGRGLIGTDAFQEADISGITMPITKHNFLVRSGDDIPRVLAEAFHIAASGRPGAVLVDIPKDVLQGQCTFSWPPRMELPGYKPNTKPHSRQVREAAKLIAAARKPVLYVGGGVIRGEATEQLRELAELTGIPVVTTLMARGAFPDSHRQNLGMPGMHGTVAAVAALQRSDLLIALGTRFDDRVTGKLDSFAPEAKVIHADIDPAEIGKNRHADVPIVGDVKAVITELIAMLRHHHIPGTIEMADWWAYLNGVRKTYPLSYGPQSDGSLSPEYVIEKLGEIAGPDAVFVAGVGQHQMWAAQFIRYEKPRSWLNSGGLGTMGFAIPAAMGAKIALPGTEVWAIDGDGCFQMTNQELATCAVEGIPVKVALINNGNLGMVRQWQSLFYAERYSQTDLATHSHRIPDFVKLAEALGCVGLRCEREEDVVDVINQARAINDCPVVIDFIVGADAQVWPMVAAGTSNDEIQAARGIRPLFDDITEGHA