Q5AUW7 AF NFT

Orsellinic acid/F9775 biosynthesis cluster protein D

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7ng2a4qmsymi4fdctylwusmcr4xhkymn5lrycgsawqdtouiuhuy/metadata.json
IPFS of structure file: 
bafybeie5zknfw55wku5prznhboam26zmchij7pjymnopab4oyeekwp7aje/AF-Q5AUW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9d7467021Db73aeAa95A2Ab5150B26f506bE6044
First NFT owner address (bech32): 
genesis1n46xwqsakuaw422692632zex75rtuczykapmfp
Current NFT ID #282894 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
282894
Accession (UniProt):
Q5AUW7
Name::
Orsellinic acid/F9775 biosynthesis cluster protein D
Experimental Method:
Predicted structure
Sequence source:
EMERICELLA NIDULANS (STRAIN FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139)

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 Q5AUW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5AUW7|ORSD_EMENI Orsellinic acid/F9775 biosynthesis cluster protein D OS=Emericella nidulans (strain FGSC A4 / ATCC 38163 / CBS 112.46 / NRRL 194 / M139) OX=227321 GN=orsD PE=2 SV=1 MPPVRFGPRKILEYDGRYGVLICHECRYAIQKSALQSHLLRHKIYRADRQQLVAMINELDLLEPDDVLLPPPESPPIDGLPVIAGYRCTAPGCANLCASLKRMKGHWRESHGIADASLARPAKLQTFFRGTKIRYFEVTPTTEDEDDEENESENDEEEGDVDLEEQEDDNGGRQSTTVTTSPGPSAPSVNVDLETLSYFHHFMSATSLTLPCPQDMQSGAQYWKEKAVPQALQQRWLMCGLLALAACHLAAFPDNAAAGQQHRKRAAEFSLEFRTGWRELADTSGEGLREVATEIECLLRCAHWALAESPCDQRIMPEPGVPEHLQSIISTIQSTVPAAAPHEAETSAYATRILRWNTSEAGNSVLAEIRNRLHDLPARMADTFGRPENIQDVLVLLSALAAMGECCDTSFASEEVGPAWWGMATWWTRVPLRFKELVARHYPASLVVVAHWAALMVNRTERCGCWLVKGLAMTILLRIAERLPEDDDGNVQRLVALTIAA