Q5M7L2 AF NFT

Protein LBH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidv347lizb6v7rnq6lzyetky6bryw7kstsyoqsrvo676frfkwrzeq/metadata.json
IPFS of structure file: 
bafybeihas2bsujmvobmjsy6okvpq7tbgx5sicii4kmtrm7og5b7d7pvtva/AF-Q5M7L2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc487cEf008e163c9c475e4f157372b0d7968A7cb
First NFT owner address (bech32): 
genesis1cjruauqgu93un3r4unc4wdetp4uk3f7tm273d6
Current NFT ID #207855 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
207855
Accession (UniProt):
Q5M7L2
Name::
Protein LBH
Experimental Method:
Predicted structure
Sequence source:
XENOPUS TROPICALIS

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 Q5M7L2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5M7L2|LBH_XENTR Protein LBH OS=Xenopus tropicalis OX=8364 GN=lbh PE=3 SV=1 MSVFYPIHCTDYLRSAEMTEVIMNTQPMDEIGLSPRKDSYQIFPDPSDFERCCKLKDRLPSIVVEPTEGDVESGELRWPPEEFVVDEDKEGSCDQTKKENEQ