Q4PGT8 AF NFT

DNA damage-binding protein CMR1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepe4poda6qqmv34ozcytcxvhkkjcbf6xgs5nj74lvkko7d3ln7fi/metadata.json
IPFS of structure file: 
bafybeibmipomlklsoe3uwwhrsmnw3xf5m3wxc5xyiornt5hcqisushqehu/AF-Q4PGT8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x717E52afcBFf6E3a1A9c2DCCDb558c025438A36c
First NFT owner address (bech32): 
genesis1w9l99t7tlahr5x5u9hxdk4vvqf2r3gmvsyh3z6
Current NFT ID #68198 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
68198
Accession (UniProt):
Q4PGT8
Name::
DNA damage-binding protein CMR1
Experimental Method:
Predicted structure
Sequence source:
USTILAGO MAYDIS (STRAIN 521 / FGSC 9021)

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 Q4PGT8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4PGT8|CMR1_USTMA DNA damage-binding protein CMR1 OS=Ustilago maydis (strain 521 / FGSC 9021) OX=237631 GN=UMAG_00675 PE=3 SV=1 MIESNDYEQERLKNIRENERLMKELGVMGGSSTIGGPSSKRTTPTKPKKQATPKKKPDTTPTRIMPSRSSARLAGHEADSETLKRKYEEEAEEARKVAEAAKRARHQPFDLSGMTGGELEEEAIMALESTLQGLANNTSSAAELVDTKDENKRRSANKPDPQFSTERRELEDILNKMTLKSAAKVTPKRIYSMAYHPSTDKDLVFVGDKEGSIGVWDAAPVAFASNRNGVKTADDQDEDAEERFPEGKAWTLQVHARSPVTCIKFDPVNHNSVLSSSYDSTVRKLDLATAKSEEIWAGEEDVLLSIFDVLSPSTHPSVYMDTPNPSLDERSMWIADHRGGLLHIDLRERTRRGNNTRRWQVCEKKIGAMSVNRLAPHCIATASLDQHIRLFDVRALASVVKQTADAPYNYKGVDADDLESAQTKAQFASSKARQACTSVDFSPRGDQLVGVSYDDVVKVWSMEPGSLFSEHGLKNRIATAKSNKPKGAVKKQVPDSASDTGPGLLSWLSRATPLGTKKDVAEAIKQEQDAPSPSLSKRPDDVLANPTRIPHNNQTGKWLTLFRAKWNQNALLEPHFTIGSMSRRAEVYAADGTLLRSLWDENLVTAVPAVTCMHPVLPARLVTGNASGRCTFWSPDP