Q9WVA4 AF NFT

Transgelin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqta2a55rgknncv7ikcqs4goi2hvbz2ckaddpuu6thofijkyxxi4/metadata.json
IPFS of structure file: 
bafybeicgp3dqouz43df6ap72xu4owxzbqyqokiy5at3bs3qluty4zfvnqe/AF-Q9WVA4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa4199940B4536c738284Ed2bf7052fF3a8B3E53
First NFT owner address (bech32): 
genesis1afqen9qtg5mvwwpgfmft7uzjluagk0jngj02pu
Current NFT ID #457196 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
457196
Accession (UniProt):
Q9WVA4
Name::
Transgelin-2
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 Q9WVA4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9WVA4|TAGL2_MOUSE Transgelin-2 OS=Mus musculus OX=10090 GN=Tagln2 PE=1 SV=4 MANRGPSYGLSREVQQKIEKQYDADLEQILIQWITTQCREDVGQPQPGRENFQKWLKDGTVLCKLINSLYPEGQAPVKKIQASSMAFKQMEQISQFLQAAERYGINTTDIFQTVDLWEGKNMACVQRTLMNLGGLAVARDDGLFSGDPNWFPKKSKENPRNFSDNQLQEGKNVIGLQMGTNRGASQAGMTGYGMPRQIL