P40421 AF NFT

Serine/threonine-protein phosphatase rdgC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczuyna3gzjtoks2nadj7hmd2mrwrfzdof43gem5phl6t2bxxx6ba/metadata.json
IPFS of structure file: 
bafybeiaa257flu3geyzxdwjrtnivag2ynivy3hrrx5vufr2awqrsdiaydu/AF-P40421-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #335805 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
335805
Accession (UniProt):
P40421
Name::
Serine/threonine-protein phosphatase rdgC
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 P40421 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P40421|RDGC_DROME Serine/threonine-protein phosphatase rdgC OS=Drosophila melanogaster OX=7227 GN=rdgC PE=2 SV=1 MDENAIRAAIFIQKWYRRHQARREMQRRCNWQIFQNLEYASEQDQAELYKFFNDLIKHMPQAAGRKNQYQGSAHVSVLDDKDDLVEEFGDIVNAKIELPIRKNHIDLLIDVFRKKRGNRLHPKYVALILREAAKSLKQLPNISPVSTAVSQQVTVCGDLHGKLDDLLVVLHKNGLPSSSNPYVFNGDFVDRGKRGLEVLLLLLSLYLAFPNAVFLNRGNHEDSVMNARYGFIREVESKYPRNHKRILAFIDEVYRWLPLGSVLNSRVLIVHGGFSDSTSLDLIKSIDRGKYVSILRPPLTDGEPLDKTEWQQIFDIMWSDPQATMGCVPNTLRGAGVWFGPDVTDNFLQRHRLSYVIRSHECKPNGHEFMHDNKIITIFSASNYYAIGSNKGAYIRLNNQLMPHFVQYISAASQTKRLSFKQRMGIVESSALKELAVRMRDHRDELEDEFRKYDPKDSGYISISHWCKVMENVTKLGLPWRLLRDKLAPGTDSQKVNYNRTLDLLDTDVILEAEADGMSVMDALYANKASLVAIFNIIDADNSGEITLDEFETAIDLLVAHMPGAYSKAEMLEKCRMMDLNGDGKVDLNEFLEAFRLSDLHRKEQQDENIRRRSTGRPSVAKTATDPVTLLADKISKNTLVVEHDIDPTDCESKVIDPKKS