A2BYL0 AF NFT

DNA-directed RNA polymerase subunit gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiclujddcbhoipslmnm3632amindhylila3el4bvx2iferjoq34hja/metadata.json
IPFS of structure file: 
bafybeidvqdmtuyy4upj2zmmtc55qzlqrq2kiswr57dy4ejovczlvwrjj2i/AF-A2BYL0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x13c90430eE797775A8F5DD42A7B500C58cdAFd0a
First NFT owner address (bech32): 
genesis1z0ysgv8w09mht284m4p20dgqckxd4lg2qp7pzg
Current NFT ID #387933 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
387933
Accession (UniProt):
A2BYL0
Name::
DNA-directed RNA polymerase subunit gamma
Experimental Method:
Predicted structure
Sequence source:
Prochlorococcus marinus (strain MIT 9515)

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 A2BYL0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2BYL0|RPOC1_PROM5 DNA-directed RNA polymerase subunit gamma OS=Prochlorococcus marinus (strain MIT 9515) OX=167542 GN=rpoC1 PE=3 SV=1 MTNSNLRTENHFDYVKISIASPQRIMDWGQRTLPNGQVVGEVTKPETINYRTLKPEMDGLFCEKIFGPSKDWECHCGKYKRVRHRGIVCERCGVEVTESRVRRHRMGYIKLAAPVSHVWYLKGIPSYVAILLDIPLRDVEQIVYFNCYVVLDVGDHKDLKYKQLLTEDEWLEIEDEIYAEDSTIENEPFVGIGAEALKQLLEDLDLNQIAEELREEITNSKGQKRAKLIKRIRVIDNFIATNAKPEWMVLDAIPVIPPDLRPMVQLDGGRFATSDLNDLYRRVINRNNRLARLQEILAPEIIVRNEKRMLQEAVDALIDNGRRGRTVVGANNRALKSLSDIIEGKQGRFRQNLLGKRVDYSGRSVIVVGPKLKMHQCGLPKEMAIELFQPFVIHRLIRQNIVNNIKAAKKLIQKADDEVMQVLQEVIEGHPILLNRAPTLHRLGIQAFEPKLVGGRAIQLHPLVCPAFNADFDGDQMAVHVPLALEAQTEARMLMLASNNILSPATGEPIVTPSQDMVLGSYYLTALQPNFKKPNFGDNQRTYASLEDVIFAFEDKRVGLHEWVWLRFNGEVDDDEESKTPQETKELEDGSKLEIWNFRRDRFDSQNNLISRFILTTVGRVVMNHTIIDSVSKT