O94343 AF NFT

Uncharacterized MFS-type transporter C1271.10c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicp4tr7xkauvxh3cqf4oqfy2oalrmjlmup6i3mxqisxrrf2oo4lpy/metadata.json
IPFS of structure file: 
bafybeidikpy4kfcvnw5mhpdyhzpiaevuqsf23gmoyywesbbedqnefha2t4/AF-O94343-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFF408A536C6A3A5fBDCE278EcAf1143dD108348c
First NFT owner address (bech32): 
genesis1laqg55mvdga9l0wwy78v4ug58hgssdyv7qa8x2
Current NFT ID #531403 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531403
Accession (UniProt):
O94343
Name::
Uncharacterized MFS-type transporter C1271.10c
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 O94343 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O94343|YHMA_SCHPO Uncharacterized MFS-type transporter C1271.10c OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPBC1271.10c PE=1 SV=1 MEPDGYVEELPGTILIYKENQYAASEHSVLKKDGDIVLQPQPSDDPNDPLNWNKFRKNWHLVLICLVSLVTGAIANDAGSAQDQMNAELGISYDAMDNAAGVLFICVGYFTYLAMPATFLYGRRCVYLVCLLFGMLGSMWFALVKTTSNSIGNQAFIGISEACAEALTQFSVSEVFFEHERGIKIGIYILSTSVGTYLGPLAAGYIASSQGWRWIGWWGLIISGITFVLFLFTFEETTFDRAAAIDRKQIQISNDQLTVKEDFDLKDMQSDIKPDVEKSDAMDDSKMKVDYTVNEISNAVQPIYSKPSYWKRIALITPANSLSGIGFRQYIMRLFQTLRIFLFPAVLYSGLQWGAQDAWLSFYLTTEEEDWMEAPYNYGDNAVAIMNVPCIIGATIGCIYGGYFGDYFTLWAAKRNNGIKEAESRLWLMILPCIINPIGLFMFGIGTARHWHWGPTYVGLGFIGFGWGCAGDISMAYLMDAYPGMVLEAMVGVSVINNTFGYVFTFACQSWIDSLGTERTYISIGVLCFIFIATSFPMILCGKRLRKWTAKQYYTFLNVRNRLDEKIPDQDRRGQDGVESR