A7Z1F3 AF NFT

Putative hydro-lyase RBAM_004300

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicyumsevgiergr66whnohhzev47obuyiy6v73qj2vymfw43w2raqm/metadata.json
IPFS of structure file: 
bafybeib4ueenbu4ocbqpz2r2dhsrci76hnwxjbbwdivgi2sjxo7afop7ni/AF-A7Z1F3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #517358 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
517358
Accession (UniProt):
A7Z1F3
Name::
Putative hydro-lyase RBAM_004300
Experimental Method:
Predicted structure
Sequence source:
Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42)

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 A7Z1F3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7Z1F3|Y430_BACVZ Putative hydro-lyase RBAM_004300 OS=Bacillus velezensis (strain DSM 23117 / BGSC 10A6 / LMG 26770 / FZB42) OX=326423 GN=RBAM_004300 PE=3 SV=1 MKNHMSDMSPEEVRQLVRKGQMTGPTAGMAASYAQANLVVLQKDLAFDFLLFCQRNQKPCPVLDVTDAGSPVPAIAAPGADIRTDFPKYRIYRHGVLTEEVTDITPYWKDDDVGFLIGCSFSFEQALINQHIPIRHIDEGVNVPMYKTDIDCVPAGPFSGKMVVSMRPIPERLAVRAAQVTSRFPAVHGAPVRIGNPQSIGISDLHQPDFGDAVTVREGEVPVFWACGVTPQAVIMEAKPDIVITHSPGHMLITDIRNESLAVL