Q9GMU6 AF NFT

Solute carrier organic anion transporter family member 1C1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifi7amupai2by2lw7lnic6wacyksmgufs57yabccgzutmqvpfywzq/metadata.json
IPFS of structure file: 
bafybeibdwymbk6ko533puablsznvhxl3njxecu63ub6uz3njnf7hs5qlsu/AF-Q9GMU6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #432113 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
432113
Accession (UniProt):
Q9GMU6
Name::
Solute carrier organic anion transporter family member 1C1
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q9GMU6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GMU6|SO1C1_MACFA Solute carrier organic anion transporter family member 1C1 OS=Macaca fascicularis OX=9541 GN=SLCO1C1 PE=2 SV=1 MDTSSKENIQLFCKTSVQPVGRPSFKTEYPSSEEKQPCCGELKVFLGALSFVYFAKALAEGYLKSTITQIERRFDIPSSLVGVIDGSFEIGNLLVITFVSYFGAKLHRPKIIGAGCLIMGVGTLLIAMPQFFMEQYKYEIYSPSSNSTLSISPCLLESSSQLPVSVMEKSKSKISLLAAVPFWYLPKSLPRSQSREDSNSSSEKSKFIRDDHTDYQTPQGENVKIMEMARDFLPSLKYLFGNPVYFLYLCTSTVQFNSLFGMVTYKPKYIEQQYGQSSSRANFVIGLINIPAVALGIFSGGIAMKKFRISVCGAAKLYLGSSVFGYLLFLSLFALGCENSDVAGLTVSYQGTKPVSYHERALFSDCNPRCKCSETKWEPMCGENGITYVSACPAGCQTSNRSGKNIIFYNCTCVGIAASKSGNSSGIVGRCQKDNGCPQMFLYFLVISVITSYTLSLGGIPGYILLLRCIKPQLKSFALGIYTLSIRVLAGIPAPVYFGVLIDTSCLKWGFKRCGSRGSCRLYDSNVFRHIYLGLTVILGTVSIFLSIAVLFILKKNYVSKHRNFITKRERTMVSTRFQKENCTTSDHLLQPKYWPGKETQL