Q99134 AF NFT

PYLa/PGLa A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiblgswx6fr2e4k25eedcg2rnz65blaqhf7ekf7fxedueg6cmmjml4/metadata.json
IPFS of structure file: 
bafybeihz5qa2bqzx5q5bbqmclto5ub64rnhgsnzskukhi5j2qhqfjwhfgi/AF-Q99134-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE651A2B061FB7771bFB843238E8B9bBBaaA9AbbC
First NFT owner address (bech32): 
genesis1ueg69vrpldmhr0acgv3cazumhw42n2auzdyrd4
Current NFT ID #324728 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
324728
Accession (UniProt):
Q99134
Name::
PYLa/PGLa A
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 Q99134 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99134|PYLAA_XENLA PYLa/PGLa A OS=Xenopus laevis OX=8355 GN=pgla-a PE=1 SV=1 MYKQIFLCLIIAALCATIMAEASAFADADEDDDKRYVRGMASKAGAIAGKIAKVALKALGRRDS