Q0GXS4 AF NFT

Serine/threonine receptor-like kinase NFP

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidw3ez6qvdq6h4bjttoc2v7myaymzakrjgihcraiiaqzg2ifljzne/metadata.json
IPFS of structure file: 
bafybeifvzyiusvasvrpdo3xbborku7fmkpqdq2chd4wyywpo2mqrtn66i4/AF-Q0GXS4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xff03B2db4e8d8d817F3CF3ad2b4A58B4fae7131A
First NFT owner address (bech32): 
genesis1lupm9k6w3kxczleu7wkjkjjcknawwyc6glvans
Current NFT ID #263650 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
263650
Accession (UniProt):
Q0GXS4
Name::
Serine/threonine receptor-like kinase NFP
Experimental Method:
Predicted structure
Sequence source:
MEDICAGO TRUNCATULA

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 Q0GXS4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0GXS4|NFP_MEDTR Serine/threonine receptor-like kinase NFP OS=Medicago truncatula OX=3880 GN=NFP PE=1 SV=1 MSAFFLPSSSHALFLVLMLFFLTNISAQPLYISETNFTCPVDSPPSCETYVAYRAQSPNFLSLSNISDIFNLSPLRIAKASNIEAEDKKLIPDQLLLVPVTCGCTKNHSFANITYSIKQGDNFFILSITSYQNLTNYLEFKNFNPNLSPTLLPLDTKVSVPLFCKCPSKNQLNKGIKYLITYVWQDNDNVTLVSSKFGASQVEMLAENNHNFTASTNRSVLIPVTSLPKLDQPSSNGRKSSSQNLALIIGISLGSAFFILVLTLSLVYVYCLKMKRLNRSTSSSETADKLLSGVSGYVSKPTMYEIDAIMEGTTNLSDNCKIGESVYKANIDGRVLAVKKIKKDASEELKILQKVNHGNLVKLMGVSSDNDGNCFLVYEYAENGSLEEWLFSESSKTSNSVVSLTWSQRITIAMDVAIGLQYMHEHTYPRIIHRDITTSNILLGSNFKAKIANFGMARTSTNSMMPKIDVFAFGVVLIELLTGKKAMTTKENGEVVILWKDFWKIFDLEGNREERLRKWMDPKLESFYPIDNALSLASLAVNCTADKSLSRPTIAEIVLCLSLLNQPSSEPMLERSLTSGLDAEATHVVTSVIAR