P97783 AF NFT

Protein AF1q

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifj4st27z7bwpz64jvpncjynifurpz3g5oijb5v2xsnqaeduzhhum/metadata.json
IPFS of structure file: 
bafybeiaeuscjjooyf6rh5p5kpsc6inww5z72lhzfdssi75ktfy3y3lkaua/AF-P97783-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97
First NFT owner address (bech32): 
genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz
Current NFT ID #10861 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
10861
Accession (UniProt):
P97783
Name::
Protein AF1q
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P97783 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P97783|AF1Q_MOUSE Protein AF1q OS=Mus musculus OX=10090 GN=Mllt11 PE=1 SV=1 MRDPVSSQYSSFLFWRMPIPELDLSELEGLGLSDTPTYESKDSSSVGKMNGQASGTEQKNPEGDPLLEYSTFNFWRAPIASIHSVDLDLL