A4QL10 AF NFT

DNA-directed RNA polymerase subunit beta'

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibuig5k6mzoaugqey6r5cghsahm4jned332nxob5ie74js7mdzbqu/metadata.json
IPFS of structure file: 
bafybeifef5rmrk6k57k3itomm7gmvaqt6hd2vlns3bqrxsjxg3fok2qthi/AF-A4QL10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #387850 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
387850
Accession (UniProt):
A4QL10
Name::
DNA-directed RNA polymerase subunit beta'
Experimental Method:
Predicted structure
Sequence source:
Draba nemorosa

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 A4QL10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4QL10|RPOC1_DRANE DNA-directed RNA polymerase subunit beta' OS=Draba nemorosa OX=171822 GN=rpoC1 PE=3 SV=1 MIDRYKHQQLRIGLVSPQQISAWATKKIPNGEIVGEVTKPYTFHYKTNKPEKDGLFCERIFGPIKSGICACGNYRVIGDEKEDPKFCEQCGVEFVDSRIRRYQMGYIKLTCPVTHVWYLKRLPSYIANLLDKPLKELEGLVYCDFSFARPITKKPTFLRLRGSFEYEIQSWKYSIPLFFTTQGFDIFRNREISTGAGAIREQLADLDLRIIIENSLVEWKQLGEEGPTGNEWEDRKIVRRKDFLVRRMELAKHFIRTNIEPEWMVLCLLPVLPPELRPIIQIEGGKLMSSDINELYRRVIYRNNTLTDLLTTSRSTPGELVMCQEKLVQEAVDTLLDNGIRGQPMRDGHNKVYKSFSDVIEGKEGRFRETLLGKRVDYSGRSVIVVGPSLSLHRCGLPREIAIELFQTFVIRGLIRQHLASNIGVAKSQIREKKPIVWEILQEVMQGHPVLLNRAPTLHRLGIQSFQPILVEGRTICLHPLVCKGFNADFDGDQMAVHVPLSLEAQAEARLLMFSHMNLLSPAIGDPISVPTQDMLIGLYVLTSGTRRGICANRYNPCNRKNDKNEKLYETNYKYMKEPFFCNSYDAIGAYRQKRINLDSPLWLRWQLDQRVIASREVPIEVHYESFGNYHEIYAHYLIVRSVKKETFCIYIRTTAGHISFYREIEEAIQGFSQACSYDT