P74177 AF NFT

DNA-directed RNA polymerase subunit gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihzbq5uaucie3fhvwhr5yb3kpfp7hhifork42czptsclf32zz7r3u/metadata.json
IPFS of structure file: 
bafybeifqngwt6y6vbklmespxdxjm5rmw7enmqp6u24c5qb2get4qqohq6q/AF-P74177-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x031fBF0774927D9FA70ADc54b28043583452Be2e
First NFT owner address (bech32): 
genesis1qv0m7pm5jf7elfc2m32t9qzrtq69903wd8cz9m
Current NFT ID #387968 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
387968
Accession (UniProt):
P74177
Name::
DNA-directed RNA polymerase subunit gamma
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 P74177 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P74177|RPOC1_SYNY3 DNA-directed RNA polymerase subunit gamma OS=Synechocystis sp. (strain PCC 6803 / Kazusa) OX=1111708 GN=rpoC1 PE=3 SV=1 MKAQSEPRFDYVKIAIASPERIRQWGERTLPNGTVVGEVTKPETINYRTLKPEMDGLFCEKIFGPSKDWECWCGKYKRVRHRGIVCERCGVEVTESRVRRHRMGYIKLAAPVTHVWYLKGIPSYLSILLDMALRDVEQIVYFNAYVVLNPGNASNLQYKQLLTEDQWVEIEDQIYAEDSELEGIEVGIGAEAVQRLLAELQLEEVAEKLREEILASKGQKRAKLIKRLRVIDNFIATHSQAEWMTLDVIPVIPPDLRPMVQLDGGRFATSDLNDLYRRVINRNNRLARLQEILAPEIIVRNEKRMLQEAVDALIDNGRRGRTVVGANNRALKSLSDIIEGKQGRFRQNLLGKRVDYSGRSVIVVGPNLKIYQCGLPREMAIELFQPFVIHRLIKLGIVNNIKAAKKLILKGDPQIWSVLEEVITGHPVMLNRAPTLHRLGIQAFEPILVEGRAIQLHPLVCPAFNADFDGDQMAVHVPLSLEAQCEARLLMLACHNVLSPATGKPIVAPSQDMVLGCYYLTAENPNAQKGAGRYFAGIEDALRAYDHGQVDLHSQIWIRHLDEDVVTEKPDTEVIKTEDLGDGTVMKYYRERKIREGVDGEIITQYIQTTPGRIIYNKTIAEALVF