Q9PTH3 AF NFT

Insulin-like growth factor-binding protein 2-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxbtuma3emorqtgiq3yifq5nqu7oaitnqtsoqatcdqgiw72xhyde/metadata.json
IPFS of structure file: 
bafybeidn47iehljzjay4deu7atrlnug224zn2idp76svtwimp4ezk5i4ye/AF-Q9PTH3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4F3500FD13628563884A773578190b4E4dCd3a28
First NFT owner address (bech32): 
genesis1fu6splgnv2zk8zz2wu6hsxgtfexu6w3gmkj2vg
Current NFT ID #183086 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
183086
Accession (UniProt):
Q9PTH3
Name::
Insulin-like growth factor-binding protein 2-A
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q9PTH3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PTH3|IBP2A_DANRE Insulin-like growth factor-binding protein 2-A OS=Danio rerio OX=7955 GN=igfbp2a PE=1 SV=1 MLSYVSCGLLLALVTFHGTARSEMVFRCPSCTAERQAACPMLTETCGEIVREPGCGCCPVCARQEGEQCGVYTPRCSSGLRCYPKPDSELPLELLVQGLGRCGRKVDTEPTGSAEPREVSGEVQDPLDIGLTEVPPIRKPTKDSPWKESAVLQHRQQLKSKMKYHKVEDPKAPHAKQSQCQQELDQVLERISKITFKDNRTPLEDLYSLHIPNCDKRGQYNLKQCKMSVNGYRGECWCVNPHTGRPMPTSPLIRGDPNCNQYLDGQEMDPSVDPPN