Q876J2 AF NFT

Sporulation-specific glucan 1,3-beta-glucosidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeichck35y7pmug3ftrou3svyv5kt6hlxico6h56k2v2nrlrxy7hfei/metadata.json
IPFS of structure file: 
bafybeif6e5wosjy6txmlyrl4abteanw3icpfnwpn5ci64xvndbjnyribji/AF-Q876J2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #435346 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
435346
Accession (UniProt):
Q876J2
Name::
Sporulation-specific glucan 1,3-beta-glucosidase
Experimental Method:
Predicted structure
Sequence source:
Saccharomyces uvarum (strain ATCC 76518 / CBS 7001 / CLIB 283 / NBRC 10550 / MCYC 623 / NCYC 2669 / NRRL Y-11845)

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 Q876J2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q876J2|SPR1_SACU7 Sporulation-specific glucan 1,3-beta-glucosidase OS=Saccharomyces uvarum (strain ATCC 76518 / CBS 7001 / CLIB 283 / NBRC 10550 / MCYC 623 / NCYC 2669 / NRRL Y-11845) OX=659244 GN=SPR1 PE=3 SV=1 MVSFKRLTTLALSFTQLVNCNPVSPKSKDSLQFIYKEKANVYSEANSQSIREKIRGVNLGGWLVLEPYITPSIFEAFRTNPHNDNGIPVDEYRFCQSLGYEKAKERLYNHWSTFYKEEDFAKIASQGFNMVRIPVGYWAFTTLSHDPYVTGEQEYFLDKAVDWARKYGLKVWIDLHGAAGSQNGFDNSGLRDSYKFLDEEYLSATMKALTYILSKYSTDIYLDTVIGIELLNEPLGPVFDMERLKNLFLKPAYDYLRNKIMSKQIIVMHDAFQPYNYWDNFLNGDKEEYGVILDHHHYQVFSPIELARNMNERIKIACQWGVGTLSEKHWSVAGEFSAALTDCTKWLNGVGFGARYDGTWAKGNDKSYHIGSCANNENVGLWSEERKQNTRKFIEAQLDAFEMTGGWIMWCYKTENSIEWDVEKLIQHNLFPQPISDRKHPNQCH