E9QA62 AF NFT

Leiomodin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafclv3evyjvpp3ic3izrgtjjw2edfqpkzrzg73tmpxtxkc3ybb64/metadata.json
IPFS of structure file: 
bafybeihhdgu7rovtt7zesq44ul6cahuns2iucsfjuctuzzypc42ozngm34/AF-E9QA62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0C2662d9b03a8d2eD95cE616E19f3B0412E0928E
First NFT owner address (bech32): 
genesis1psnx9kds82xjak2uuctwr8emqsfwpy5wx8rzps
Current NFT ID #215806 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215806
Accession (UniProt):
E9QA62
Name::
Leiomodin-3
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 E9QA62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E9QA62|LMOD3_MOUSE Leiomodin-3 OS=Mus musculus OX=10090 GN=Lmod3 PE=1 SV=1 MSGHSRNSEQEDTLSEELDEDELLANLSPEELKELQSEMEVMAPDPHLPVGMIQKDQTDKAPTGNFNHKSLVDYMYLQKASRRMLEDERVPVSFVQSEKNTQNQREVGDKGIKNMPQFLKEKLNSEILAKKRESNGSNNVQEAEDDDEDEEEEEEDDEDEEEEEEDEEDDEGEEDEDGEQANREKNDAKEQIHNNPGTYQQLATKTAHEQKDTSETKEKGEKKIAKLDPKKLALDTSFLKVSARPSGNQTDLDGSLRRVRQNDPDMKELNLNNIENIPKEMLLDFVNAMKKNKHIKTFSLANVGADESVAFALANMLRENRSVTTLNIESNFITGKGIVAIMRCLQFNETLTELRFHNQRHMLGHHAEMEISRLLKANTTLLKMGYHFELPGPRMVVTNLLTRNQDKRRQKRQEEQQQQQLKEQRKLIAMLENGLGLPPGMWERLGGPMPDPRMQEFFQPASGRPLDAQEVPFGSRKEMIKNPPQPPQCKTDPDSFRVVKLKRIQRKSRMPEAREAQEKTNLKDVIKTLKPVPRNRPPPLVEITPRDQLLNDIRHSNVAYLKPVQLPKELE