O00937 AF NFT | MOLNFT bioinformatics, blockchain

Actin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeige3httxj2cewgupr46x2syqqwotk2bvjwaldmae62hdmoo6xuxem/metadata.json

IPFS of structure file:

bafybeieutd36q64pghpej4bnlzcvqpeco3lsqvpj7dy6cqb54kbyxxcx4q/AF-O00937-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd10960F956646DE8b64d3598984c91C2d5Af3D7b

First NFT owner address (bech32):

genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv

Current NFT ID #8714 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8714
Accession (UniProt):
O00937
Name::
Actin
Experimental Method:
Predicted structure
Sequence source:
Sterkiella cavicola

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 O00937 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O00937|ACT_STECV Actin OS=Sterkiella cavicola OX=742176 PE=3 SV=2 MSEQQTCVIDNGSGVVKAGFSGEDAPRAVYPSIVGRPKNVSALIGVDSASEYLGDEAQQKRGVLKIFYPIEHGIVKDWDDMEKIWNHTFYVELRVSPDEHPVLLTEAPLNPKVNREKMTQIMFETFNVPALYVAIQAVLSLYSAGRTTGIVCDAGDGVTHTVPIYEGFSIPHAVSRIQLAGRDLTTFMAKLLTERGYSFTSSAELEIVRDIKEKLCFVALDYEAALKQSHDSSTFEKNYELPDGKIITIGSERFRCPEYLFKPLEMNGKELDSIQDLTYKSIQECDVDVRRDLYQTIILSGGSTSIEGIGERLLKEIENRAPKSINVKVIASPDRRFAVWRGGSTLTSLSTFASMWITKEDYDENGASIVHRKCI