A1DNV8 AF NFT

DNA damage-binding protein cmr1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie234gdyuhcpceinilz7c4dwkcwz5wi7inn333gbz5fyvhipdejra/metadata.json
IPFS of structure file: 
bafybeiapgwelzxzvade2udfsyyja2n5hwjz5ttzmth33p7nwiirn5jsio4/AF-A1DNV8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x69bd3d8B33871a491e7265723C8BA854444ae3eb
First NFT owner address (bech32): 
genesis1dx7nmzensudyj8njv4erezag23zy4clty0lc0p
Current NFT ID #68192 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
68192
Accession (UniProt):
A1DNV8
Name::
DNA damage-binding protein cmr1
Experimental Method:
Predicted structure
Sequence source:
Neosartorya fischeri (strain ATCC 1020 / DSM 3700 / CBS 544.65 / FGSC A1164 / JCM 1740 / NRRL 181 / WB 181)

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 A1DNV8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1DNV8|CMR1_NEOFI DNA damage-binding protein cmr1 OS=Neosartorya fischeri (strain ATCC 1020 / DSM 3700 / CBS 544.65 / FGSC A1164 / JCM 1740 / NRRL 181 / WB 181) OX=331117 GN=NFIA_058290 PE=3 SV=1 MGADNELSEFEKQRLANIAERDALLKKLTLDAQSAGLFPPKSARSSPGGLTKPKKKPAPKKVKKEDEDLVPRRMSSRLRGLAADSEVAKRKADEQYEAAQQAERAKRVRKSDAFSFSEMLVSGQKLSGDSLIGVDVVTKGVAMPYQRTFGDDDIKKTTDKELKALREEMSGLRLWEAWEPNRIKLTPERIYTMTFHPSEAKPLIFAGDKMGNLGVLDASQEKPISAVKQEDDEDAEDDDPDPVLTTLKPHTRTISSMHVHPSKPTHLYSASYDSSIRELDLEKTTSVEKYAPESTSDDIPISGIDMAPDDPNTLYWTTLDGAFGRYDTRASRRSAVATWQLSEKKIGGFSLFPTHPHFFATASLDRTMRLWDIRKLSHDEPVPVGEHVSRLSVSHAAFNSAGQIATSSYDDTLKIYDFGSKGIAAWKPGHTLSDAEMKPDTIVRHNCQTGRWVTILRPQWQANPQSPIQRFCIGNMNRFVDVYSSSGDQLAQLGGDGITAVPAVAVFHRSTNWIAGGTASGKICLWM