Q07609 AF NFT

Membrane protein MosC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifhlfi7i73s6ydrebnlxngl52yymn7csbopmslfu7jk4bynbpaadi/metadata.json
IPFS of structure file: 
bafybeihc3nlzbrldykqrtaqugzzvqykn2zewndvq7wb6isv54txh4r5uby/AF-Q07609-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x75D463c6B3cfcF079F2971E0B8Ee1b5B258a8820
First NFT owner address (bech32): 
genesis1wh2x834nel8s08efw8st3msmtvjc4zpqn323p3
Current NFT ID #241701 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
241701
Accession (UniProt):
Q07609
Name::
Membrane protein MosC
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM MELILOTI

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 Q07609 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q07609|MOSC_RHIML Membrane protein MosC OS=Rhizobium meliloti OX=382 GN=mosC PE=4 SV=2 MTRTSPRHHAPSETKRRVPMGGVHTNPGKKLTITAVAFQFFINGLVLAAWATSIPHVKNAYSFNDAELGVLLLIMAAGALLFMSLAGYFSHVFGSRRMSIQSALLFPSALVLIFAAPNCMTFLCSIVLFGAANGAMDVLMNHQAKALEENGFPRIMAFLHGCSSTGILAGIMTFGVIGDGHYVARSVTLLTGILIVARWLFPHLLDDVRSGEHRLAIGELRNCKLLMFGILSFLTMVTDGAIAEWSKLYLIRVEQVTDQVGSLGYVAFTLLMIAGRISGDRVKDAIGCRALIAISGSLASAGMTTALFMPSFAGKLAGFALLGLGMANLVPIIFSEAASMNTVSKTVGLTFVSVCGYSGFLVGPPIIGRIAEAVGLGRALLFIIAVGVIVACASVFFDRHRSGQPEP