Q9LF09 Probable glucomannan 4-beta-mannosyltransferase 11 MolNFT, Molecular NFT on GenesisL1

Probable glucomannan 4-beta-mannosyltransferase 11

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihf4sunrajtw5uriegevrroa6s5bhgaasnllp6cjjjq4373q2zifa/metadata.json

IPFS of structure file:

bafybeiclntjpkxwkvsu6prfgmwnlzaokdybjlpbjvxq7t7sr4fo5iff7rm/AF-Q9LF09-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd6bC1C645b7B141A4643641CCE4f692185f8f8FC

First NFT owner address (bech32):

genesis1667pcezm0v2p53jrvswvunmfyxzl378u9lwquh

Current NFT ID #78448 owner (web3):

0x8EFd901A9417Db3E794c277E751d8219022562Ec

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
78448
Accession (UniProt):
Q9LF09
Name::
Probable glucomannan 4-beta-mannosyltransferase 11
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9LF09 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LF09|CSLAB_ARATH Probable glucomannan 4-beta-mannosyltransferase 11 OS=Arabidopsis thaliana OX=3702 GN=CSLA11 PE=2 SV=2 MQEDLELGNQNFPMVLVQIPMYNEREVFKLSIGAACRLIWPLDRLIVQVLDDSTDPTIMEMVSTECGKWATKGINIKCERRDNRNGYKAGALKQGMRHSYVKTCTYIAIFDADFQPEPDYLERTVPFLIHNPELALVQARWKFVNAKKCLMTRMQEMSLNYHFTAEQESGSTRHAFFGFNGTAGVWRLAAMEEAGGWKDRTTVEDMDLAVRVGLHGWKFVFVNDVSVKSELPSQFKAFRFQQHRWSCGPANLFRKMTMEIIRNKRVTIWKKLYVIYSFFFVRKIIVHFFTFFFYCFILPTSVFFPEVNIPTWSTVYFPFMITLFNAIATPRSFYLVIFWVLFENVMAMHRTKGTFIGLLEGGRVNEWVVTEKLGDALETKLLPQVRKPRNGFLERINSKEMMVGIYILCCASYNLVFGKTVLYIYLYMQALAFIIAGIGFIGT

Q9LF09 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9LF09 research and analysis (ICN3D with VR)

FASTA sequences

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