A8LVS8 AF NFT

Na(+)/H(+) antiporter NhaA 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibqribg343cbh5aqfynkzclu7myjzfxl3y5mui3ac3b6uhsbbsnne/metadata.json
IPFS of structure file: 
bafybeifdksg2ajabwcqy5pettn3xzqpy4qeokuafvc7i6vrb4pq2pzw46a/AF-A8LVS8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfA9E55a3C2F78504f3a636E1aE6CC93EFb2e497A
First NFT owner address (bech32): 
genesis1l209tg7z77zsfuaxxms6umxf8majujt6wsmrp0
Current NFT ID #264171 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
264171
Accession (UniProt):
A8LVS8
Name::
Na(+)/H(+) antiporter NhaA 1
Experimental Method:
Predicted structure
Sequence source:
SALINISPORA ARENICOLA (STRAIN CNS-205)

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 A8LVS8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8LVS8|NHAA1_SALAI Na(+)/H(+) antiporter NhaA 1 OS=Salinispora arenicola (strain CNS-205) OX=391037 GN=nhaA1 PE=3 SV=1 MTGELPRGRRWSARTTWASRLNVPLRAFLHTETGSARVLLAAAVVALAWANLDESSYESLWGNTLSVQLGGWQLSHDLRYWVNSGLMTFFFLVIGLEVRRDFDLGELRERRRLTLPLLAGIGGILVPIAIYLAFNAGRPTAVGWGVVMATDTALALGMLAVLGPRFSDRLRNFLLTVAVVDDLIVIAVLAIAYPEHPSPTALFVAAGIFALVLLIRAAGGRWGPGYLLLGVAAWLAVSESGVDPVVVGLVMGLLTYAYAPARTELQRAADRFRLFREQPSPQLARSVRAGLSAALSPNDRLQHIYHPWASYLIVPLFALANVGVVVDGELLARAATSPVTLGVLFAYVVGKPAGIVIASMLVARLSHNRFRAPVGWAAIIGVGTVSGIGFTIALLIATHALHGPALDEAKIGILVATVGASLTTWLVFRLAARLPPARRARALLGVSEGIIDLMVPVDPDRDHVRGPREAPVTVVEYGDFECPYCGQAEPAVRELLTDFTNIRYVWRHLPLTDVHPYAQVAAEAAEAAGDQGAFWEMHDLLLAHQGELRPADLLGYAERLDLDLDRFREHLADRRGAVRIAEDVDGADLSSVSGTPTFFVNGRRHHGSYNIEALSAAVTSAFAGTRLRPRDDREPDRRREVGSEQPDEEPGT