P43589 Pre-mRNA-splicing factor SAD1 MolNFT, Molecular NFT on GenesisL1

Pre-mRNA-splicing factor SAD1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeib7uyn5hry6afxquzeahgqqhgs5qxc4rlrrgyepcjhb6yaf56do4q/metadata.json

IPFS of structure file:

bafybeif4zlcevmqirhvmdl7eslfwrl5vzzl6zozz4s6izxgyc52vvz7fuq/AF-P43589-F1-model_v2.pdb

First NFT owner address (eip-55):

0xC0f5cbbADD874269E5C27dE8258432D46a904ac7

First NFT owner address (bech32):

genesis1cr6uhwkasapxnewz0h5ztppj634fqjk8n2xjps

Current NFT ID #419486 owner (web3):

0x16edbd69fA6426C5Ff9f390C84fca594D6d96523

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
419486
Accession (UniProt):
P43589
Name::
Pre-mRNA-splicing factor SAD1
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 P43589 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P43589|SAD1_YEAST Pre-mRNA-splicing factor SAD1 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=SAD1 PE=1 SV=1 MEVDNKRRHSEDELKQEAVKKIKSQEPNYAYLETVVREKLDFDSEKICCITLSPLNVYCCLVCGHYYQGRHEKSPAFIHSIDENHHVFLNLTSLKFYMLPQNVQILHDGEVQLLNSIKFAAYPTYCPKDLEDFPRQCFDLSNRTYLNGFIGFTNAATYDYAHSVLLLISHMVPVRDHFLLNHFDNQGEFIKRLSICVKKIWSPKLFKHHLSVDDFVSYLKVREGLNLNPIDPRLFLLWLFNKICSSSNDLKSILNHSCKGKVKIAKVENKPEASESVTGKVIVKPFWVLTLDLPEFSPFEDGNSVDDLPQINITKLLTKFTKSRSSSTSTVFELTRLPQFLIFHFNRFDRNSDHPVKNRNQTLVEFSSELEILHVKYRLKANVVHVVIKQPSTDGNAFNGDEKSHWITQLYDNKSEKWIEIDGINTTEREAELLFLKETFIQVWEKQE

P43589 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P43589 research and analysis (ICN3D with VR)

FASTA sequences

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