Signal Peptide Prediction Using Machine Learning











up vote
-1
down vote

favorite












Can anyone please guide me on how do I predict the signal peptide from a protein sequence using machine learning technique?



Any guide, reference or tutorial would be very helpful.



Thank you in advance.










share|improve this question







New contributor




Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
























    up vote
    -1
    down vote

    favorite












    Can anyone please guide me on how do I predict the signal peptide from a protein sequence using machine learning technique?



    Any guide, reference or tutorial would be very helpful.



    Thank you in advance.










    share|improve this question







    New contributor




    Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






















      up vote
      -1
      down vote

      favorite









      up vote
      -1
      down vote

      favorite











      Can anyone please guide me on how do I predict the signal peptide from a protein sequence using machine learning technique?



      Any guide, reference or tutorial would be very helpful.



      Thank you in advance.










      share|improve this question







      New contributor




      Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      Can anyone please guide me on how do I predict the signal peptide from a protein sequence using machine learning technique?



      Any guide, reference or tutorial would be very helpful.



      Thank you in advance.







      machine-learning deep-learning bioinformatics data-science protein-database






      share|improve this question







      New contributor




      Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked Nov 18 at 8:56









      Gabriel Bekhar

      11




      11




      New contributor




      Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.





      New contributor





      Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Gabriel Bekhar is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.
























          1 Answer
          1






          active

          oldest

          votes

















          up vote
          1
          down vote













          There are many tools out there to predict signal peptides. I'd use them first. Most signal peptides are also annotated in the Uniprot database.



          But if you decide to go further with developing this, you would first need to build a dataset of signal peptide sequences in the context of the full protein sequences. I would then train a recurrent neural network on these sequences with full protein sequence as an input and signal peptide probability as an output. This probably won't work out of the box, so you'll need to do quite a bit of tweaking.






          share|improve this answer








          New contributor




          Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
          Check out our Code of Conduct.


















            Your Answer






            StackExchange.ifUsing("editor", function () {
            StackExchange.using("externalEditor", function () {
            StackExchange.using("snippets", function () {
            StackExchange.snippets.init();
            });
            });
            }, "code-snippets");

            StackExchange.ready(function() {
            var channelOptions = {
            tags: "".split(" "),
            id: "1"
            };
            initTagRenderer("".split(" "), "".split(" "), channelOptions);

            StackExchange.using("externalEditor", function() {
            // Have to fire editor after snippets, if snippets enabled
            if (StackExchange.settings.snippets.snippetsEnabled) {
            StackExchange.using("snippets", function() {
            createEditor();
            });
            }
            else {
            createEditor();
            }
            });

            function createEditor() {
            StackExchange.prepareEditor({
            heartbeatType: 'answer',
            convertImagesToLinks: true,
            noModals: true,
            showLowRepImageUploadWarning: true,
            reputationToPostImages: 10,
            bindNavPrevention: true,
            postfix: "",
            imageUploader: {
            brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
            contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
            allowUrls: true
            },
            onDemand: true,
            discardSelector: ".discard-answer"
            ,immediatelyShowMarkdownHelp:true
            });


            }
            });






            Gabriel Bekhar is a new contributor. Be nice, and check out our Code of Conduct.










             

            draft saved


            draft discarded


















            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53359248%2fsignal-peptide-prediction-using-machine-learning%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown

























            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            1
            down vote













            There are many tools out there to predict signal peptides. I'd use them first. Most signal peptides are also annotated in the Uniprot database.



            But if you decide to go further with developing this, you would first need to build a dataset of signal peptide sequences in the context of the full protein sequences. I would then train a recurrent neural network on these sequences with full protein sequence as an input and signal peptide probability as an output. This probably won't work out of the box, so you'll need to do quite a bit of tweaking.






            share|improve this answer








            New contributor




            Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
            Check out our Code of Conduct.






















              up vote
              1
              down vote













              There are many tools out there to predict signal peptides. I'd use them first. Most signal peptides are also annotated in the Uniprot database.



              But if you decide to go further with developing this, you would first need to build a dataset of signal peptide sequences in the context of the full protein sequences. I would then train a recurrent neural network on these sequences with full protein sequence as an input and signal peptide probability as an output. This probably won't work out of the box, so you'll need to do quite a bit of tweaking.






              share|improve this answer








              New contributor




              Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
              Check out our Code of Conduct.




















                up vote
                1
                down vote










                up vote
                1
                down vote









                There are many tools out there to predict signal peptides. I'd use them first. Most signal peptides are also annotated in the Uniprot database.



                But if you decide to go further with developing this, you would first need to build a dataset of signal peptide sequences in the context of the full protein sequences. I would then train a recurrent neural network on these sequences with full protein sequence as an input and signal peptide probability as an output. This probably won't work out of the box, so you'll need to do quite a bit of tweaking.






                share|improve this answer








                New contributor




                Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                There are many tools out there to predict signal peptides. I'd use them first. Most signal peptides are also annotated in the Uniprot database.



                But if you decide to go further with developing this, you would first need to build a dataset of signal peptide sequences in the context of the full protein sequences. I would then train a recurrent neural network on these sequences with full protein sequence as an input and signal peptide probability as an output. This probably won't work out of the box, so you'll need to do quite a bit of tweaking.







                share|improve this answer








                New contributor




                Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                share|improve this answer



                share|improve this answer






                New contributor




                Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                answered 2 days ago









                Tilen K

                112




                112




                New contributor




                Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.





                New contributor





                Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.






                Tilen K is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.






















                    Gabriel Bekhar is a new contributor. Be nice, and check out our Code of Conduct.










                     

                    draft saved


                    draft discarded


















                    Gabriel Bekhar is a new contributor. Be nice, and check out our Code of Conduct.













                    Gabriel Bekhar is a new contributor. Be nice, and check out our Code of Conduct.












                    Gabriel Bekhar is a new contributor. Be nice, and check out our Code of Conduct.















                     


                    draft saved


                    draft discarded














                    StackExchange.ready(
                    function () {
                    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53359248%2fsignal-peptide-prediction-using-machine-learning%23new-answer', 'question_page');
                    }
                    );

                    Post as a guest















                    Required, but never shown





















































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown

































                    Required, but never shown














                    Required, but never shown












                    Required, but never shown







                    Required, but never shown







                    Popular posts from this blog

                    Costa Masnaga

                    Fotorealismo

                    Sidney Franklin