B0JSN9 AF NFT

DNA-directed RNA polymerase subunit gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2sza44duf3io2pv73a7fz73kf34jjplosq2b74sh7gsgfxiggdi/metadata.json
IPFS of structure file: 
bafybeihsmhktp46igdgrjmgkmiwjj54j3eryf5mquazm5dt2qlkw2id6ae/AF-B0JSN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa61D118041847c825681Dedc6F8f8b4D4289cd58
First NFT owner address (bech32): 
genesis15cw3rqzps37gy45pmmwxlrutf4pgnn2csqfq4u
Current NFT ID #387885 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
387885
Accession (UniProt):
B0JSN9
Name::
DNA-directed RNA polymerase subunit gamma
Experimental Method:
Predicted structure
Sequence source:
Microcystis aeruginosa (strain NIES-843)

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 B0JSN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0JSN9|RPOC1_MICAN DNA-directed RNA polymerase subunit gamma OS=Microcystis aeruginosa (strain NIES-843) OX=449447 GN=rpoC1 PE=3 SV=1 MKTPTDQRFDYVKIGLASPERIRQWGERTLPNGQVVGEVTKPETINYRTLKPEMDGLFCEKIFGPSKDWECWCGKYKRVRHRGIVCERCGVEVTESRVRRHRMGFIKLAAPVTHVWYLKGIPSYLSILLDMPLRDVEQIVYFNAYVVLDPGNAGNLSYKQLLSEDQWLEIEEEIYAEDSELVGIEVGIGAEAIQRLLQEINLEEEAERLRTEIVESKGQKRAKLIKRLRVIDNFIATGSQAEWMVLSVIPVIPPDLRPMVQLDGGRFATSDLNDLYRRVINRNNRLSRLQEILAPEIIVRNEKRMLQEAVDALIDNGRRGRTVVGANNRALKSLSDIIEGKQGRFRQNLLGKRVDYSGRSVIVVGPKLKIYQCGLPREMAIELFQPFVIHRLIKLGIVNNIKAAKKMIQRGDANVWHVLDEVITGHPVMLNRAPTLHRLGIQAFEPILVEGRAIQLHPLVCPAFNADFDGDQMAVHIPLSLEAQSEARLLMLACHNILSPATGRPIVAPSQDMVLGCYYLTAENPKAQKGGGRYFASMDDAIRAFDQGLVDLHASVWLRLPVGEKVKTNKPDEEVLETETLPDGSIWKYYRERKTREKDGEIISQYVRTTVGRIIYNKTILEALVV