P40944 AF NFT

Endo-1,4-beta-xylanase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifyp4uhm4y3jbm6zufvtte3egxgbemud74fgsem777oslxzzn5xta/metadata.json
IPFS of structure file: 
bafybeic5ybn3os4p3xe4bhksw7hd4mcfnmenxl7cnlq4tr2je5g52uzy4a/AF-P40944-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #502467 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
502467
Accession (UniProt):
P40944
Name::
Endo-1,4-beta-xylanase A
Experimental Method:
Predicted structure
Sequence source:
Caldicellulosiruptor sp. (strain Rt8B.4)

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 P40944 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P40944|XYNA_CALSR Endo-1,4-beta-xylanase A OS=Caldicellulosiruptor sp. (strain Rt8B.4) OX=28238 GN=xynA PE=3 SV=1 MMRSLKSRKLVFILAMLFLINAIVSLKFITYSSANQLASKSKYIEYNFENKSVSPLAKYPSNVVLKVTNSTCAEGTFSVLVAGRKNANDGVIVDITKFLDFSREYEVSFYVLQTTKKLQRISVTLEILDSNDKNQVIAAEKVLLPNIWTKVSAKVQASNYKKAKRINLIVNMPTSKSDSFYIDLFTIKDLENAYVLKQENFENKNTGGFLPEDKNCKITLAKDRAYSSAYSLKVQPSQKTKNGKILFPIKGLLQKGGTYDFSLLVYQDSSKPVNFSAGIKLNDGKSTKEIVLAKQNVAPKKWTQLFATLDLDTRFSAKDVSFFVKPAAAISYYLDLYSISDENWGQPVPDYNLPSLCEKYKNYFKIGVAVPYRALTNPVDVEVIKRHFNSITPENEMKPESLQPYEGGFSFSIADEYVDFCKKDNISLRGHTLVWHQQTPSWFFTNPETGEKLTNSEKDKEILLDRLKKHIQTVVGRYKGKVYAWDVVNEAIDENQPDGYRRSDWYNILGPEYIEKAFIWAHEADPKAKLFYNDYSTEDPYKREFIYKLIKNLKAKGVPVHGVGLQCHISLDWPDVSEIEETVKLFSRIPGLEIHFTEIDISIAKNMTDDDAYNRYLLVQQAQKLKAIFDVLKKYRNVVTSVTFWGLKDDYSWLRGDMPLLSDKDYQPKFAFWSLIDPSVVPKE