Q5NDF0 AF NFT

Protein O-linked-mannose beta-1,4-N-acetylglucosaminyltransferase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwrkboihodjt6tucvlmj4we5wgnopzc4n5qbnfr5pvsymfdtbiby/metadata.json
IPFS of structure file: 
bafybeihf7ejmhf7oyr2hmirroqlizkccdjvnmpny3qdx6lrjdhmixmw6ou/AF-Q5NDF0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC1C81C5d9568Be2795E0Bd2e795B6bD277CaDb67
First NFT owner address (bech32): 
genesis1c8ypchv4dzlz090qh5h8jkmt6fmu4km8zfzmlv
Current NFT ID #303358 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
303358
Accession (UniProt):
Q5NDF0
Name::
Protein O-linked-mannose beta-1,4-N-acetylglucosaminyltransferase 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 Q5NDF0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5NDF0|PMGT2_RAT Protein O-linked-mannose beta-1,4-N-acetylglucosaminyltransferase 2 OS=Rattus norvegicus OX=10116 GN=Pomgnt2 PE=1 SV=1 MHLSAVFNALLVSVLAAVLWKHVRLREHAATLEEELALGQQSLDPVPGLRIDYPKALQILMEGGTHMVCTGRTHTDRICRFKWLCYSNEAEEFIFFHGNSSVMLPNLGSRRFQPALLDLSTVEDHNAQYFNFVELPAAALRFMPKPVFVPDVALIANRFNPDNLMHVFHDDLLPLFYTLRQFPGLAQEARLFFMEGWGEGAHFDLYKLLSPKQPLLRSQLKTLGRLLCFSHAFVGLSKVTTWYQYGFVQPQGPKANILVSGNEIRQFTRFMTERLNVSHAGAPLGEEYILVFSRTQNRLILNEAELLLELAQEFQMKTVTVSLEDHTFADVVRLVSNASMLVSMHGAQLVTALFLPRGATVVELFPYAVNPDHYTPYKTLATLPGMDLQYVAWRNMIRENTVTHPERPWDQGGITHLDRAEQARILQSREVPRHLCCRNPEWLFRIYQDTRVDIPSLMQSIRRVVKGRPGPRRQRWAISLYPGKVREARCQASVQGATEARLSVSWQIPWNLKYLKVREVRYEVWLQEQGENTYVPYMLTLQNHTFTENIKPFTTYLVWVRCIFNRSLLGPFADVLVCST