P38750 AF NFT

Uncharacterized transporter YHL008C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihj6mtje432wwqkojcpix46u7wwfgxow5trnimg3zkd3orhryx6di/metadata.json
IPFS of structure file: 
bafybeihoqsus4eexbkebwflwed35zzupgvzmdlqfrw5vuo6owcu7s3gtza/AF-P38750-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x377A671cC221aFAc27e06D50A303640C3b531ee2
First NFT owner address (bech32): 
genesis1xaaxw8xzyxh6cflqd4g2xqmypsa4x8hzf4vnpl
Current NFT ID #530865 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
530865
Accession (UniProt):
P38750
Name::
Uncharacterized transporter YHL008C
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 P38750 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P38750|YHA8_YEAST Uncharacterized transporter YHL008C OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YHL008C PE=1 SV=1 MVDDSNYLTPHETALAVVATAMKKARLQLDTLLINSILGGVLFSSGSFLLVAVYSEDPDIVARNPGIVNLITGVNFAMGLFYVVMMGADLFNSNILFFSVGVLRKAVTIYDLMISWVVSWLGNIAGSLFVSYLFGHLSGISSQKLWIIGSRQIIEQKVSYSFVQTFLKGIACNFFVCLAIYLQLMAKPIHVKFILMSFPIIDFIGIGFTHVVGDMSASFIAMLNGANVSVGKYIWKLLIPASLGNIVGGLFFSAVVPFYLHLVVVERDRKRLSLPEYEARDEQPELNMDSRVVRIQKNECDDDATETGEDLENLTEKGFASIYNTNHDNSSYFTGRSLNSLRSIPSSVITSDNVTMESDLGEPVQFIPKSNSTTRSPHLGLPHNLPHNHSIKSINRHRINKRHSLRSPPGVFPVRGMGEPLEREKTIEDATYDPKENELFLRRAETHNSAYVKNKKKEDDNLLRLVKTEEDREQKEYEKNGGYNILENKPGTRLEKIITHLAENVSSREVTPPILPRTTQDTFPHNAPASSPAYTDDAHSLRKANSTTLGGLFRAVSKEFHSSKDAESPDDLLKKMAAVGINRNARITANNVAGIVNLNKEDLDSTTRRQKITEPKNFYNRHTSPQL