acppred


Nameacppred JSON
Version 0.0.3 PyPI version JSON
download
home_pagehttps://github.com/bzlee-bio/con_ACP
SummaryScreening anticancer peptide from amino acid sequence data
upload_time2024-03-25 01:00:29
maintainerNone
docs_urlNone
authorzolee
requires_python>=3.6
licenseNone
keywords anticancer peptide sequence data deep learning
VCS
bugtrack_url
requirements numpy pytorch
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/bzlee-bio/con_ACP",
    "name": "acppred",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": null,
    "keywords": "anticancer peptide, sequence data, deep learning",
    "author": "zolee",
    "author_email": "blee.inf@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/54/6e/7b1c5ce826e7419c3e976033a830839f5ccb28cc5d6bda2d7ff2088736b2/acppred-0.0.3.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": null,
    "summary": "Screening anticancer peptide from amino acid sequence data",
    "version": "0.0.3",
    "project_urls": {
        "Homepage": "https://github.com/bzlee-bio/con_ACP"
    },
    "split_keywords": [
        "anticancer peptide",
        " sequence data",
        " deep learning"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f08bea30bf79a88b828c833fecedfc5137373b5fd22f16a35e5917a61f459773",
                "md5": "2bdd15b6d4b9f80f35df6a37e93b938a",
                "sha256": "254491bae2466b6fe6b2d7a5f60f1cea1538088dcc7bb1ee2b22a7ec9ed15a44"
            },
            "downloads": -1,
            "filename": "acppred-0.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "2bdd15b6d4b9f80f35df6a37e93b938a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 13952,
            "upload_time": "2024-03-25T01:00:28",
            "upload_time_iso_8601": "2024-03-25T01:00:28.297450Z",
            "url": "https://files.pythonhosted.org/packages/f0/8b/ea30bf79a88b828c833fecedfc5137373b5fd22f16a35e5917a61f459773/acppred-0.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "546e7b1c5ce826e7419c3e976033a830839f5ccb28cc5d6bda2d7ff2088736b2",
                "md5": "586bf0f6ddb6d0d75e3163f3bbdf7cb1",
                "sha256": "a4fe2b55353622d55555f9c16eb5997b94acde7f53a9acbb013d3729441aab95"
            },
            "downloads": -1,
            "filename": "acppred-0.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "586bf0f6ddb6d0d75e3163f3bbdf7cb1",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 7870,
            "upload_time": "2024-03-25T01:00:29",
            "upload_time_iso_8601": "2024-03-25T01:00:29.924331Z",
            "url": "https://files.pythonhosted.org/packages/54/6e/7b1c5ce826e7419c3e976033a830839f5ccb28cc5d6bda2d7ff2088736b2/acppred-0.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-25 01:00:29",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "bzlee-bio",
    "github_project": "con_ACP",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [
        {
            "name": "numpy",
            "specs": [
                [
                    ">=",
                    "1.17.0"
                ]
            ]
        },
        {
            "name": "pytorch",
            "specs": [
                [
                    ">=",
                    "2.0.1"
                ]
            ]
        }
    ],
    "lcname": "acppred"
}
        
Elapsed time: 0.22317s