Q7TNG5 AF NFT

Echinoderm microtubule-associated protein-like 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifc6vo5xhztfdvihaoh5dl4d4o3aawg3i7mfag4rjxuq6ygg6qu6y/metadata.json
IPFS of structure file: 
bafybeib3uavpmtbg5oyjd6xyxpkqy76nnmuhuyihqnfuqwsnrijscehnqa/AF-Q7TNG5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #116018 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
116018
Accession (UniProt):
Q7TNG5
Name::
Echinoderm microtubule-associated protein-like 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 Q7TNG5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7TNG5|EMAL2_MOUSE Echinoderm microtubule-associated protein-like 2 OS=Mus musculus OX=10090 GN=Eml2 PE=1 SV=1 MSSFGIGKTKEVIFSMEEGSVKMFLRGRPVPMLIPDELAPTYSLDTRSELPSSRLKLDWVYGYRGRDCRANLYLLPTGEVVYFVASVAVLYSVEEQRQRHYLGHNDDIKCLAVHPDMVTIATGQVAGTTKEGKPLPPHVRVWDSVSLSTLHVLGLGVFDRAVCCVAFSKSNGGNLLCAVDESNDHVLSVWDWAKESKVVDSKCSNEAVLVATFHPTDPSLLITCGKSHIYFWSLEGGSLSKRQGLFEKHEKPKYVLCVTFLEGGDVVTGDSGGNLYVWGKGGNRITQEVQGAHDGGVFALCALRDGTLVSGGGRDRRVVLWGSDYSKVQEVEVPEDFGPVRTVAEGRGDTLYVGTTRNSILLGSVHTGFSLLVQGHVEELWGLATHPSRAQFVTCGQDKLVHLWSSETHQPVWSRSIEDPARSAGFHPSGSVLAVGTVTGRWLLLDTETHDLVAIHTDGNEQISVVSFSPDGAYLAVGSHDNLVYVYTVDQGGRKVSRLGKCSGHSSFITHLDWAQDSTCFVTNSGDYEILYWDPVTCKQITSADTVRNVEWATATCVLGFGVFGIWPEGADGTDINAVARSHDGKLLVSADDFGKVHLFSYPCCQPRALSHKYGGHSSHVTNVAFLWDDSMALTTGGKDTSVLQWRVA