P53002 AF NFT

Biotin-dependent acetyl-/propionyl-coenzyme A carboxylase beta5 subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxwljdwhtspwphuh2izccpxshue2xhrxlw2sc732dgrhsawjiun4/metadata.json
IPFS of structure file: 
bafybeihvr3gdy5qcetw54a23ftozh77wifvc5qzichze3rzcj4acwwo7p4/AF-P53002-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf72109dFe971f199ADf76784570501d113E7b6A6
First NFT owner address (bech32): 
genesis17ussnhlfw8cent0hv7z9wpgp6yf70d4x4py4gw
Current NFT ID #4693 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
4693
Accession (UniProt):
P53002
Name::
Biotin-dependent acetyl-/propionyl-coenzyme A carboxylase beta5 subunit
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM LEPRAE (STRAIN TN)

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 P53002 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P53002|ACCD5_MYCLE Biotin-dependent acetyl-/propionyl-coenzyme A carboxylase beta5 subunit OS=Mycobacterium leprae (strain TN) OX=272631 GN=accD5 PE=3 SV=1 MTSVTDHSAHSMERAAEHTINIHTTAGKLAELHKRTEEALHPVGAAAFEKVHAKGKFTARERIYALLDDDSFVELDALARHRSTNFGLGENRPVGDGVVTGYGTIDGRDVCIFSQDVTVFGGSLGEVYGEKIVKVQELAIKTGRPLIGINDGAGARIQEGVVSLGLYSRIFRNNILASGVIPQISLIMGAAAGGHVYSPALTDFVVMVDQTSQMFITGPDVIKTVTGEDVTMEELGGAHTHMAKSGTAHYVASGEQDAFDWVRDVLSYLPSNNFTDAPRYSKPVPHGSIEDNLTAKDLELDTLIPDSPNQPYDMHEVVTRLLDEEEFLEVQAGYATNIVVGLGRIDDRPVGIVANQPIQFAGCLDINASEKAARFVRVCDCFNIPIVMLVDVPGFLPGTEQEYDGIIRRGAKLLFAYGEATVPKITVITRKAYGGAYCVMGSKNMGCDVNLAWPTAQIAVMGASGAVGFVYRKELAQAAKNGANVDELRLQLQQEYEDTLVNPYIAAERGYVDAVIPPSHTRGYIATALHLLERKIAHLPPKKHGNIPL