conACP-pred

Name	conACP-pred JSON
Version	0.0.1 JSON
	download
home_page	https://github.com/bzlee-bio/con_ACP
Summary	Screening anticancer peptide from amino acid sequence data
upload_time	2024-03-25 00:00:59
maintainer	None
docs_url	None
author	zolee
requires_python	>=3.6
license	None
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": "conACP-pred",
    "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/d3/a6/8ebe11fe5e39ad209c29006f15c10c47bcf0c9f0ca2cb43474a20d4db127/conACP-pred-0.0.1.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": null,
    "summary": "Screening anticancer peptide from amino acid sequence data",
    "version": "0.0.1",
    "project_urls": {
        "Homepage": "https://github.com/bzlee-bio/con_ACP"
    },
    "split_keywords": [
        "anticancer peptide",
        " sequence data",
        " deep learning"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3ba4d94cede6863c0bcf340ac9fd51c93afe4c31fab3bd39f881e65781060c11",
                "md5": "c3af1e865d355d77edf8421b668e36f1",
                "sha256": "1fd389d3cf2e3321861b9c20e627faf1e5e26724abddeac323b5128ea39477b8"
            },
            "downloads": -1,
            "filename": "conACP_pred-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "c3af1e865d355d77edf8421b668e36f1",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 14012,
            "upload_time": "2024-03-25T00:00:57",
            "upload_time_iso_8601": "2024-03-25T00:00:57.753141Z",
            "url": "https://files.pythonhosted.org/packages/3b/a4/d94cede6863c0bcf340ac9fd51c93afe4c31fab3bd39f881e65781060c11/conACP_pred-0.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d3a68ebe11fe5e39ad209c29006f15c10c47bcf0c9f0ca2cb43474a20d4db127",
                "md5": "90dba6445d8e4678e993ddc0cf29af39",
                "sha256": "2434c3a8ed4cd77b6aa9ee7d71c6f921ee6a74a57ce97baef8603ff0faf92974"
            },
            "downloads": -1,
            "filename": "conACP-pred-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "90dba6445d8e4678e993ddc0cf29af39",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 7804,
            "upload_time": "2024-03-25T00:00:59",
            "upload_time_iso_8601": "2024-03-25T00:00:59.839505Z",
            "url": "https://files.pythonhosted.org/packages/d3/a6/8ebe11fe5e39ad209c29006f15c10c47bcf0c9f0ca2cb43474a20d4db127/conACP-pred-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-25 00:00:59",
    "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": "conacp-pred"
}