B7LM78 AF NFT

UDP-4-amino-4-deoxy-L-arabinose--oxoglutarate aminotransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigf7ucearaan2egopdm25i32tjpwkwtweuywuq3rgki6sgiioryly/metadata.json
IPFS of structure file: 
bafybeifdxnp6rm4yhbm32dqjowqcqz6m26sg5aiatwiln2gzrmzynkw3ga/AF-B7LM78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #23727 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
23727
Accession (UniProt):
B7LM78
Name::
UDP-4-amino-4-deoxy-L-arabinose--oxoglutarate aminotransferase
Experimental Method:
Predicted structure
Sequence source:
Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73)

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 B7LM78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7LM78|ARNB_ESCF3 UDP-4-amino-4-deoxy-L-arabinose--oxoglutarate aminotransferase OS=Escherichia fergusonii (strain ATCC 35469 / DSM 13698 / CCUG 18766 / IAM 14443 / JCM 21226 / LMG 7866 / NBRC 102419 / NCTC 12128 / CDC 0568-73) OX=585054 GN=arnB PE=3 SV=1 MSNFLPFSRPAMGAEELAAVKEVLESGWITTGPKNLALEDAFIQLTGNQYAIAVSSATAGMHITLMALEIGPGDEVITPSMTWVSTLNMISLLGATPVMVDVDRDTLMVTPEIVEAAITPRTKAIIPVHYAGAPADTNALYAIAERHGIAVIEDAAHAVGTYYKGQHVGARGTAIFSFHAIKNITCAEGGLVVTDDESLARQLRTLKFHGLGVDAYDRQTWGRAPQAEVLTPGYKYNLTDINAAIALTQLHKLEQLNARRHDIATQYQHALVNLPFQPLALPAWPHIHSWHLFIIRVDEQRCGINRDTLMEALKEKGIGTGLHFRAAHTQKYYRQHFPDLSLPNTEWNSERICSLPLFPDMTNADAERVITALHQLAGQ