Q90Z05 Vang-like protein 2-B MolNFT, Molecular NFT on GenesisL1

Vang-like protein 2-B

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiglbgioybwcl3ibwzwzcwxn5aq2ywo2fjfxe6xhp764grsiatayhi/metadata.json

IPFS of structure file:

bafybeihex2hwcbhz47yjtebo6nme6ucyaqycgvcibnsuyaggddoicvktdu/AF-Q90Z05-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4646f197d9d8E25cddf613E3d4a2609797139977

First NFT owner address (bech32):

genesis1ger0r97emr39eh0kz03afgnqj7t38xthdtdltp

Current NFT ID #497424 owner (web3):

0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497424
Accession (UniProt):
Q90Z05
Name::
Vang-like protein 2-B
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q90Z05 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q90Z05|VNG2B_XENLA Vang-like protein 2-B OS=Xenopus laevis OX=8355 GN=vangl2-b PE=1 SV=1 MDNDSQYSGYSYKSGQSRSSRKHRDRRERHRSKSREGSRGDKSVTIQAPGEPLLDNESTRGEDRDDNWGETTTVVTGTSEHSISHDDITRITKDMEDSAKLDCSRHLGVVIAGALALLSFLTPIAFMLLPQILWREDLEQCGTACEGLFISVAFKLLILLLGSWALFFRRPKAFFPRVFVFRALLMVLVFLLVVSYWLFYGVRILESRDKNYQGIVQYAVSLVDALLFVHYLAVVLLELRQLQPQFTIKVVRSTDGASRFYNIGHLSIQRVAVWILENYYHDFPVYNPALLNLPKSILSKKMSGFKVYSLGEENNTNNSTGQSRAVIAAAARRRDNSHNEYYYEEAEHERRVRKRKARLVVAVEEAFTHIKRLQDEDPKNPREIMDPREAAQAIFASMARAMQKYLRTTKQQPYHTMESILQHLEFCITHDMTPKAFLERYLGPGPTIQYHKDRWLAKQWTLVSEEPVTNGLKDGVVFELKRQDFSLVVSTKKIPFFKLSEEFVDPKSHKFVMRLQSETSV

Q90Z05 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q90Z05 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience