P35859 AF NFT

Insulin-like growth factor-binding protein complex acid labile subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidlvfepwzo2sdvmykfndiuu4xc3c4sjnwtr524xkj5d2drnkntirq/metadata.json
IPFS of structure file: 
bafybeidy7kkyb22pnh22yi5kgp56b2k3hfbnh2b3mlh5eshp2rncm3f6ha/AF-P35859-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3D8433ffb95e6c39E5C202F8A5434D08C005CeBd
First NFT owner address (bech32): 
genesis18kzr8laetekrnewzqtu22s6dprqqtn4a76l3e5
Current NFT ID #14577 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
14577
Accession (UniProt):
P35859
Name::
Insulin-like growth factor-binding protein complex acid labile subunit
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 P35859 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35859|ALS_RAT Insulin-like growth factor-binding protein complex acid labile subunit OS=Rattus norvegicus OX=10116 GN=Igfals PE=1 SV=1 MALRTGGPALVVLLAFWVALGPCHLQGTDPGASADAEGPQCPVACTCSHDDYTDELSVFCSSKNLTHLPDDIPVSTRALWLDGNNLSSIPSAAFQNLSSLDFLNLQGSWLRSLEPQALLGLQNLYYLHLERNRLRNLAVGLFTHTPSLASLSLSSNLLGRLEEGLFQGLSHLWDLNLGWNSLVVLPDTVFQGLGNLHELVLAGNKLTYLQPALFCGLGELRELDLSRNALRSVKANVFVHLPRLQKLYLDRNLITAVAPGAFLGMKALRWLDLSHNRVAGLMEDTFPGLLGLHVLRLAHNAIASLRPRTFKDLHFLEELQLGHNRIRQLGERTFEGLGQLEVLTLNDNQITEVRVGAFSGLFNVAVMNLSGNCLRSLPERVFQGLDKLHSLHLEHSCLGHVRLHTFAGLSGLRRLFLRDNSISSIEEQSLAGLSELLELDLTTNRLTHLPRQLFQGLGHLEYLLLSYNQLTTLSAEVLGPLQRAFWLDISHNHLETLAEGLFSSLGRVRYLSLRNNSLQTFSPQPGLERLWLDANPWDCSCPLKALRDFALQNPGVVPRFVQTVCEGDDCQPVYTYNNITCAGPANVSGLDLRDVSETHFVHC