Q06623 AF NFT

HDA1 complex subunit 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiakk5jpnkmie4xqtywbn2s4hvd5e6pmy2da5zpd472gbda4myqj5m/metadata.json
IPFS of structure file: 
bafybeibayudst4coyaq4zb4wwmznkl56nxfvkvf5fyjusi2ktvx4dg2agy/AF-Q06623-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1B825eA1b68b2c80eBeE8dBC8cE710E320759452
First NFT owner address (bech32): 
genesis1rwp9agdk3vkgp6lw3k7geecsuvs8t9zjdv9e7a
Current NFT ID #165893 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
165893
Accession (UniProt):
Q06623
Name::
HDA1 complex subunit 3
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 Q06623 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06623|HDA3_YEAST HDA1 complex subunit 3 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=HDA3 PE=1 SV=1 MDLLRILDTKPIPTIVDATTLGISGNTSGDYWLPTTMSLYQKELTDQIVSLHYSDILRYFETSHYKEDVILESMKTMCLNGSLVATHPYLLIDHYMPKSLITRDVPAHLAENSGKFSVLRDLINLVQEYETETAIVCRPGRTMDLLEALLLGNKVHIKRYDGHSIKSKQKANDFSCTVHLFSSEGINFTKYPIKSKARFDMLICLDTTVDTSQKDIQYLLQYKRERKGLERYAPIVRLVAINSIDHCRLFFGKKFDKNSREYLENVTAAMVILRDRLGTLPPDLRPIYSQKLHYLVEWLENPTVPWPLPDIYPLKQYTSMDVERSLLTEVHFKKSDDQLEDAFSNCSKKRGRHGANKAASSTVAGIEDNITPSFYSTKRLKNDYYTNPLKQDMTQLTGITTADNSSNVNYHLSSGIITHKLIQSMGEVYMDICVQKQELDDYSCLDDLQNDHLKFFSNEDEKIIKEYETVLRTNNENLNRSHELEVENNLKFSQIETLEKDIETLKGSLMAQGETLSKLKDAFVKTDNVQDEIEKEERVSVSRDTEKKYMEQEIKRAVDAIRENEEETHKLNEKQNGLESELKLKFEKSEISTKELNEKIGFLKKELKLENDLNEELVGQLSKTMDNLENLTIPRVRTQNGNTKKKSRAKKPGNV