B5ZV36 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifk2tuwbdrotblw5rvxzirzyh7pp6hjrbe3d4myfwhwtnjkv4zd7a/metadata.json
IPFS of structure file: 
bafybeia4aw3nixfypdpbfd3rez7q25ov3be5ee4ltewfpuswmbdjrvrriu/AF-B5ZV36-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #8032 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8032
Accession (UniProt):
B5ZV36
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
Rhizobium leguminosarum bv. trifolii (strain WSM2304)

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 B5ZV36 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5ZV36|ACSA_RHILW Acetyl-coenzyme A synthetase OS=Rhizobium leguminosarum bv. trifolii (strain WSM2304) OX=395492 GN=acsA PE=3 SV=1 MSEKIYPVTKPVKARALIDKEKYLKWYEESVENPDKFWGKHGKRIDWFKPYTKVKNTSFTGKVSIKWFEDGQTNVSYNCIDRHLKTNGDQVAIIWEGDNPYIDKKVTYNELYEHVCRMANVLKKHGVKKGDRVTIYMPMIPEAAYAMLACARIGAVHSVVFGGFSPEALAGRIVDCESTFVITCDEGLRGGKPVPLKDNTDTAIHIAARQHVHVSKVLVVRRTGGKTGWAPGRDLWHHQEIATVKPECPPVKMKAEDPLFILYTSGSTGKPKGVLHTTGGYLVYAAMTHEYVFDYHDGDVYWCTADVGWVTGHSYIVYGPLANCATTLMFEGVPNFPDQGRFWEVIDKHKVNIFYTAPTAIRSLMGAGDDFVTRSSRSSLRLLGTVGEPINPEAWEWYYNVVGDKRCPVIDTWWQTETGGHMITPLPGAIDLKPGSATVPFFGIKPELVDNEGKVLEGAADGNLCITDSWPGQMRTVYGDHDRFIQTYFSTYKGKYFTGDGCRRDADGYYWITGRVDDVLNVSGHRLGTAEVESALVSHNLVSEAAVVGYPHPIKGQGIYCYVTLMAGHEGTDTLRQDLVKHVRAEIGPIAAPDKIQFAPGLPKTRSGKIMRRILRKIAEDDFGALGDTSTLADPAVVDDLIANRQNKATA