Q12198 AF NFT

Putative cystathionine gamma-synthase YLL058W

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia6i5any3oxksomtbbwnbtgyev7ws2wbntbq5u35amba73yzkwwha/metadata.json
IPFS of structure file: 
bafybeih7uzfl3326at4uikxw2mgx4daigwtpdufx4su3nhsfulesgy62dq/AF-Q12198-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9DC039DF1aC938C188D9b20e6591d287429437BF
First NFT owner address (bech32): 
genesis1nhqrnhc6eyuvrzxekg8xtywjsapfgdalw5gegw
Current NFT ID #232349 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
232349
Accession (UniProt):
Q12198
Name::
Putative cystathionine gamma-synthase YLL058W
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 Q12198 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12198|METW_YEAST Putative cystathionine gamma-synthase YLL058W OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YLL058W PE=1 SV=1 MTEIEFGQPLPSNLDYAVSFGIPTWDSAIGYAEKVPEVIGKMATGYPRYFPQPPVQRLCAYFVKKFGRGSENCRPFPSVNLGLKCFEYVKSVSGPESKAHLEVETVTIKNRGAKTSKEPAELVLTIAAVLASEEEFETVKEYWKLRGECVSSRLALSVNQLLDCANHGSEQVLRELEAGVFAAKKGEEKAKNLIKGRIVENRFRPFGLEKKTPNWEGLNLNPNEDVYLVSSGMSAISTARNLLTFWEEKKNSGDSLNKTTSDQKKKPLLCDTVGIFGFPFKDTQVIMTKFGKCKFFGFGNSRDVVELQKFLETSKQRILAVFVETPSNPLLNMPDLKKLRSLADQYGFFIVIDDTIGGLNVDILPYADIVSTSLTKLFNGASNVMGGSVVLNPKSSLYPYAREYFRSANFEDLLWCEDAIVLERNSRDFEDRTLRANANTGILLNDLLLPEEGKICKKIYYPTVTSKETFENYESVRNERGGYGCLFSVAFFNEGDAKAFYDSLKVFKGPSNGTNFTLACPYVHLAHHSELEEVSKFGADPNIIRVSVGLEDIQWLLKVFSSALDVVKSRGSKHS