Q9HDV2 AF NFT

Uncharacterized amino-acid permease PB2B2.01

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidoobrqejhb7ggzh2vt5ngk7ine33ysmo27fcasyiaocujihunisy/metadata.json
IPFS of structure file: 
bafybeigybwtckx2pvqrdkuwwtgtifg2lzmxbpozp555yv4ucyfh4lelyuq/AF-Q9HDV2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a5E8971Bc8668384f357c645750797DdfA6b629
First NFT owner address (bech32): 
genesis1pf0gjuduse5rsne403j9w5re0h06dd3f4ndtvj
Current NFT ID #531145 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531145
Accession (UniProt):
Q9HDV2
Name::
Uncharacterized amino-acid permease PB2B2.01
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q9HDV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HDV2|YHE1_SCHPO Uncharacterized amino-acid permease PB2B2.01 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPBPB2B2.01 PE=3 SV=1 MNAYVRDSESVYSESYPPENFISNEPEKSKDKDNFNGEEVISYVGEVETVPAKEENVFRRFINGFKIEKNQQDSAGQGLKRRLKSRHIQMIGIGGAIGTGVWVGSSKSLYRGGAASVLIDYCIVGTMVFCTVYALGELAVAFPTRGSFVTHATRFIDESWGFALSWNYVFSFIVTIPLELTTGTMMIKYWTNLNSGIWVTVFIVFLFFINIFGVKGYGEMEFIMSTIKVVAMCGFIILGIIIDCGGVPTDHRGYMGTHIFRENAFRHKFKGFCAVFTSAAFSFSGTEYVGVAAAETENPAKAFPVAVRQTLFRIAIFYILSLFIVSLLISGADPRLTSYHGVDASPFVLAIKDANIKALPSILNAIILISVISSANAQLYAGSRAIHSLGCNGFAPKCFTLVDREGRPLVALLILFLFMFLGYLVETGQYDTVFDWMLSISGLGTLFCWGSICLAHIRYRAAMKHQNRSLKEVGFVSPFNVYASYYAFILVCLVLAAEFYVSIFPVGGKPDASAFFENYLSAPVILVFFICHKLYYKTKRITLSNMDLETDFAYKTPVEEEEEEEKSAGSLSIKQRMKKLSDMMC