C1KVW9 Putative membrane protein insertion efficiency factor MolNFT, Molecular NFT on GenesisL1

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifkk324hvapordnnd34ofpblbox2t73pbj4evx7b6uuirxmiyjmca/metadata.json

IPFS of structure file:

bafybeigvqgn3y6rfwhphfcd44fkmqk5haj2xlb7uglarg7a5fyub6apsda/AF-C1KVW9-F1-model_v2.pdb

First NFT owner address (eip-55):

0xfdf43E25548A6F2259b983138c11e47b2f207335

First NFT owner address (bech32):

genesis1lh6ruf253fhjykdesvfccy0y0vhjque4kmmjt4

Current NFT ID #532403 owner (web3):

0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532403
Accession (UniProt):
C1KVW9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Listeria monocytogenes serotype 4b (strain CLIP80459)

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 C1KVW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1KVW9|YIDD_LISMC Putative membrane protein insertion efficiency factor OS=Listeria monocytogenes serotype 4b (strain CLIP80459) OX=568819 GN=Lm4b_01683 PE=3 SV=1 MKKILIGGIRLYQKYISRFTPATCRFYPTCSAYGIEAIQTHGALKGSYLAIRRISKCHPFHKGGLDFVPPKKEKNADSEHSCKAHHHH

C1KVW9 AF NFT

MOLNFT AF v1

NFT data

MOLNFT C1KVW9 research and analysis (ICN3D with VR)

FASTA sequences

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