Q6P6T4 AF NFT

Echinoderm microtubule-associated protein-like 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkpljtjabqzf5hz6fhyosebv4bybicanxnlptmu7htb7l7lpfuma/metadata.json
IPFS of structure file: 
bafybeid3mgwwbyjileoq2lgloecz456asqoju5jeaoynvce2g45wspvtfe/AF-Q6P6T4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #116019 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
116019
Accession (UniProt):
Q6P6T4
Name::
Echinoderm microtubule-associated protein-like 2
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 Q6P6T4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6P6T4|EMAL2_RAT Echinoderm microtubule-associated protein-like 2 OS=Rattus norvegicus OX=10116 GN=Eml2 PE=1 SV=1 MSSFGTGKTKEVIFSMEEGSVKMFLRGRPVPMLIPDELAPTYSLDTRSELPSSRLKLDWVYGYRGRDCRANLYLLPTGEVVYFVASVAVLYSVEEQRQRHYLGHNDDIKCLAVHPDMVTIATGQVAGTTKEGKPLPPHVRVWDSVSLSTLHVLGLGVFDRAVCCVAFSKSNGGNLLCAVDESNDHVLSVWDWAKESKVVDSKCSNEAVLVATFHPTDPNLLITCGKSHIYFWSLEGGNLSKRQGLFEKHEKPKYVLCVTFLEGGDVVTGDSGGNLYVWGKGGNRITQEVLGAHDGGVFALCALRDGTLVSGGGRDRRVVLWGSDYSKVQEVEVPEDFGPVRTVAEGRGDTLYVGTTRNSILLGSVHTGFSLLVQGHVEELWGLATHPSRAQFVSCGQDKLVHLWSSETHQPVWSRSIEDPARSAGFHPSGSVLAVGTVTGRWLLLDTDTRDLVAIHTDGNEQISVVSFSPDGAYLAVGSHDNLVYVYTVDQGGRKVSRLGKCSGHSSFITHLDWAQDSTCFVTNSGDYEILYWDAATCKQITSADTVRNVQWATATCVLGFGVFGIWPEGADGTDINAVARSHDGNLLVSADDFGKVHLFSYPCCQPRALSHKYGGHSSHVTNVAFLWDDSMVLTTGGKDTSVLQWRVA