B0S8X7 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidsf3aw2cdnnunccegdudqzvieqdptbp2bdsv6htt5ot5dfnaxzym/metadata.json
IPFS of structure file: 
bafybeifumrhgjlnfahlsujf3dia5ircpgahcjvu6bdc7gwu7jx4i2gp5oa/AF-B0S8X7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x37D23f42Fd2ebF3427de09E6ff9245a4403a5797
First NFT owner address (bech32): 
genesis1xlfr7sha96lngf77p8n0lyj953qr54uhqxtzft
Current NFT ID #7981 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
7981
Accession (UniProt):
B0S8X7
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
Leptospira biflexa serovar Patoc (strain Patoc 1 / Ames)

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 B0S8X7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0S8X7|ACSA_LEPBA Acetyl-coenzyme A synthetase OS=Leptospira biflexa serovar Patoc (strain Patoc 1 / Ames) OX=355278 GN=acsA PE=3 SV=1 MPKERIVAPSKEFAKLANVSLKEYKSKYKESIEKPEKFWAEQAKRLTWFKKWTKVLRHDFAKAKVEWFVGGKLNVSYNCLDRHLDSPLKNKAALIWEGDNPDESKVLTYHDLHREVNHFANVLKKFKVKKGDRVLIYLPMVPELAIATLACTRIGAVHSVVFGGFSPEALLGRIEDCKPTLVITADGGYRGGKPIELKKNVDAALAETKFKVNDVIVVKRTGDEGNLNWKEGRDHWYHYLMKDPEVKKECPAVPMESEDPLFILYTSGSTGKPKGVLHTTAGYLLGANLTFATIFDYKDTDTYWCTADIGWITGHSYILYGPLSNGATSLMFEGVPSYPDMGRFWDVIDKYKVTVFYTAPTAIRALMREGLEHIKKRSLASLRLLGSVGEPINPEAWEWYYANIGKSKCPIVDTWWQTETGSIMISGIPGAIPQKPGSASWPFYGIQPVLVDNEGVELKGKGEISGNLCIAKPWPSMMRGVYGDPKRFFDTYFSQFKGYYFTGDGANRDKEGYFRITGRVDDVLNVSGHRIGSAEVESALVEHKSVAEAAVVGFPHDIKGQGIYAYVTVKQGVVTNDLLKKELIAMVEKVIGKIARPDVIHWAPGLPKTRSGKIMRRILRKIANNEFDTLGDISTLADPSVVQSLIDDKKKYHS