P14198 AF NFT

AAC-rich mRNA clone AAC4 protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfmtfqvoyroc3pt7ya2vunlvt67wpizvxc7g7fwokpp5vk4qgiaq/metadata.json
IPFS of structure file: 
bafybeihfpbynsr6ay574y5sclqs2bhxnuss33reqpbj4abxuedoimofgte/AF-P14198-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #2492 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
2492
Accession (UniProt):
P14198
Name::
AAC-rich mRNA clone AAC4 protein
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 P14198 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P14198|AAC4_DICDI AAC-rich mRNA clone AAC4 protein OS=Dictyostelium discoideum OX=44689 GN=AAC4 PE=2 SV=3 MSLSNNQTQFVTVFVPIQLSIDVFRKMNNINSFVNDNLTNFPIVTVDQLIKVVNNNNNNNNNNNNNNNNNNNNTSISNNGDINNCLATFEQVQNNCFETCDFKATEREHYFASGKQIQESVLPEEEEEKISVNNFAMVTVEPNNCFVKAQQINSVAPLSLDNRNCVRRAHREVNTFVQVFDVCVFNLKVVNVATNESQVNLFNGGNVENICFDRSIQMPRSSADDFDWSSQQQSSWYSLALSIIPIYHEIILVLCNWLVVAFYKYWQHQQQKQLPPHPLNIIVPNVSKRIAVNLNNQLISLTFTNFLKNIFFLNNNNNNNNNNNNNNNNNNNNNNNNNNNNKTNNNQLNLSKEICNENLNFEEFNFEDESVCKYNRLTNSCENISKIQQVNEESELLDWFSDFEEMDSVLLQNGTEFDNDHPMVKSQAPSITFKSLDQFIKYLEENNCVDDIEVSPCSKSHTFNRPVSTPRLIIKPTWCVYGDSLNTEFFHSCLKDKTCGDIIVDHFEPLVSSPTDFLLSNGGQRILDTPNAGGSSVWSEVLSFEVLNQVFGAQLKKTETEIEYAPGSKITDFSVDINNSHIGVSVVRIINFFDLNGRTYKAVFTPEYARNLLYKKLFGVIASTEAVVDKWEKQILYVWTTSSCVADIIVQEYWKVPAKLRSNTLVYVNHATNSEFLF