Q0CS14 Probable arabinan endo-1,5-alpha-L-arabinosidase A MolNFT, Molecular NFT on GenesisL1

Probable arabinan endo-1,5-alpha-L-arabinosidase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeih4s45kat62zqixhpic5w3xn2whovjyx4fuwbgqoznpz5efzsy6ji/metadata.json

IPFS of structure file:

bafybeibcbtr7bbwu3donhuttb224ghldxmrmv5lm2ntzjrlxgx25tj5h5e/AF-Q0CS14-F1-model_v2.pdb

First NFT owner address (eip-55):

0xec36345797D5f8570EE6344bD8f385a362719E9C

First NFT owner address (bech32):

genesis1asmrg4uh6hu9wrhxx39a3uu95d38r85u933vsp

Current NFT ID #3830 owner (web3):

0x017919F1bE1124b92211d6Ce23B1B47B990387b9

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
3830
Accession (UniProt):
Q0CS14
Name::
Probable arabinan endo-1,5-alpha-L-arabinosidase A
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 Q0CS14 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CS14|ABNA_ASPTN Probable arabinan endo-1,5-alpha-L-arabinosidase A OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=abnA PE=3 SV=1 MRASFVVTAPLLAAAVHGYAAPGACSGACNIHDPSLIRRESDGKYFRFSTGNKISYASASSIEGPWTTIGSMLPDGSSIDLPGNDDLWVSAHATWTGVPHANREYQAPDAQIVNGVYHVYYSVSSFGSQNSAIGLATSTSMDAGTWTDHGSTGIQSSSSKNYNAIDGNLFNDGGTYYMNFGSFWADIFQAPMNSAATKVASSSYGIAYDPSGTHAVEGSYLYKYGNYYYLFYSWGICCGYDTSRPAAGQEYKIKVCRSTSATGNFVDADGVACTNGGGTVVLESHDNVYGPGGQGVFTDPNLGPVLYYHYVDTNIGYADGQKLFGWNVLDFSSGWPVV

Q0CS14 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q0CS14 research and analysis (ICN3D with VR)

FASTA sequences

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