Q55710 AF NFT

Bifunctional protein ThiO/ThiG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeichiz2gv6ytixhylaydun7ybce65nitz7mkluggoj75f6zslzn3ze/metadata.json
IPFS of structure file: 
bafybeigo7d7z7dmfb3wftqevmfaxstes6abqkhdfukosxaozxbw3of2cca/AF-Q55710-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD46bf19A439600e699da317abd477927C7884D8B
First NFT owner address (bech32): 
genesis1634lrxjrjcqwdxw6x9at63meylrcsnvtazwftq
Current NFT ID #464801 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
464801
Accession (UniProt):
Q55710
Name::
Bifunctional protein ThiO/ThiG
Experimental Method:
Predicted structure
Sequence source:
SYNECHOCYSTIS SP. (STRAIN PCC 6803 / KAZUSA)

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 Q55710 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q55710|THIOG_SYNY3 Bifunctional protein ThiO/ThiG OS=Synechocystis sp. (strain PCC 6803 / Kazusa) OX=1111708 GN=thiO/thiG PE=3 SV=1 MQTTSDVLIIGGGIIGLAIAVELKLKQKRLQVTVLSRDFAQAASHAAAGMLAPHAEQIAPGPMLDLCLASRWRYGEWVEKLEQLTGMETGYNPCGILSPVFEAPHGNSSTNSAWLDQETIRYYQPGLGEDVIGGWWHPDDGQVDNRKLVSALRQAAQSLGVQIQEGVTVQAIAQRHGQVTAVLTDQGSFQADSYVLANGSWAKELLPLPVFPVKGQMMALRMPAGTHQPYPLQRVLFGPQTYLVPRRDGRLIVGATSEQVDWQPHNTPQGIQTLLGRAIRLFPALGDWAIEDFWWGFRPGTPDEQPFLGYGPCDNLILAIGHYRNGILLAPITAALISDLILDQKVSPLIHAFSPQRFLTTTNPPVLSCRPMTAVFPSIANPSLPHAAENSEGSKDLLEIAGRKFHSRLMTGTGKYPSLTTMQESVASSGCQIVTVAVRRVQTNAPGHEGLAEAIDWSTIWMLPNTAGCQTAEEAIRVARLGREMAKLLGQEDNNFIKLEVIPDTQYLLPDPIGTLEAAEQLVKEGFAVLPYINADPLLAKRLEEVGCATVMPLGSPIGSGQGIRNAANIGIIIENAKVPVVVDAGIGTPSEAAQAMEMGADAVLINSAIAMAANPVAMAQAMGMATQAGRLAYLSGRMPIKAKANASSPLTGLVG