import {Plot} from "@mkfreeman/plot-tooltip"
import {map} from "@martien/ramda"

papers_r = FileAttachment("../data/all_papers.json").json()
n_columns = Object.entries(papers_r["doi"]).length
index_array = Array.from({length: n_columns}, (_, i) => i)
papers = map(i => map(x => x[i], papers_r), index_array)

my_papers = papers.filter(function(p) {
    return p.authors.map(a => a.full_name).includes("Arghya Dutta")
})

  import {Plot as Plot} from "@mkfreeman/plot-tooltip"

  import {map as map} from "@martien/ramda"

papers_r = Object {doi: Object, title: Object, publication_date: Object, authors: Object, citation_count: Object, bib_entry: Object, abstract: Object, tldr: Object, year: Object, embedding: Object, journal.name: Object, journal.url: Object, journal.issue: Object, journal.abbreviation: Object, journal.pages: Object, journal.volume: Object, open_access.is_open_access: Object, open_access.open_access_status: Object, open_access.landing_page_url: Object, open_access.pdf_url: Object}

n_columns = 79

index_array = Array(79) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, …]

papers = Array(79) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]

my_papers = Array(7) [Object, Object, Object, Object, Object, Object, Object]

Arghya Dutta

alumnus

postdoc

Website ORCID

Group publications

Inputs.table(my_papers, {
    columns: [
    "doi",
    "title",
    "journal.name",
    "journal.volume",
    "journal.issue",
    "journal.pages",
    "year",
    "embedding.topic_name"
  ],
  header: {
    "journal.name": "journal",
    "journal.volume": "volume",
    "journal.issue": "issue",
    "journal.pages": "pages",
    "embedding.topic_name": "topic",
  },
  format: {
    doi: doi => htl.html`<a href=https://doi.org/${doi} target=_blank>${doi}</a>`,
    title: title => htl.html`${title}`,
    "journal.volume": volume => htl.html`<b>${volume}</b>`,
    year: year => htl.html`${year}`,
  },
  width: {
    "title": 10
  },
  layout: "auto",
})

doi	title	journal	volume	issue	pages	year
10.1038/s41467-023-40663-6	Data-mining unveils structure–property–activity correlation of viral infectivity enhancing self-assembling peptides	Nature Communications	14	1		2023
10.1039/D3BM00412K	Inverse design of viral infectivity-enhancing peptide fibrils from continuous protein-vector embeddings	Biomaterials Science	11	15	5251-5261	2023
10.1021/acsfoodscitech.2c00251	Identifying Sequential Residue Patterns in Bitter and Umami Peptides	ACS Food Science & Technology	2	11	1773-1780	2022
10.1063/5.0061875	Publisher’s Note: “Data-driven equation for drug–membrane permeability across drugs and membranes” [J. Chem. Phys. 154, 244114 (2021)]	The Journal of Chemical Physics	155	3		2021
10.1063/5.0053931	Data-driven equation for drug–membrane permeability across drugs and membranes	The Journal of Chemical Physics	154	24		2021
10.1016/j.bpj.2020.01.039	Inserting Small Molecules across Membrane Mixtures: Insight from the Potential of Mean Force	Biophysical Journal	118	6	1321-1332	2020
10.1002/adfm.201809112	Sequence‐Optimized Peptide Nanofibers as Growth Stimulators for Regeneration of Peripheral Neurons	Advanced Functional Materials	29	24		2019

Group collaborators

collaborators = Array.from(
    new Set(
        my_papers.flatMap(p => p.authors)
        .filter(function(a) {
            return a.full_name != "Arghya Dutta"
            }
        )
    )
)

list_of_collaborators = (
    Array.from(d3.group(collaborators, a => a.full_name).keys())
)
dict_of_collaborators = (
    collaborators.reduce(
        (acc, x) => (
            {...acc, [x.full_name]:
                {
                    "given": x.given,
                    "family": x.family,
                    "affiliation_city": x.affiliation.city,
                    "affiliation_name": x.affiliation.name,
                    "affiliation_country": x.affiliation.country,
                    "orcid": x.orcid,
                }
            }
        ),
        {}
    )
)

Inputs.table(
    list_of_collaborators.map(c => dict_of_collaborators[c]),
    {
        columns: [
            "given",
            "family",
            "orcid",
            "affiliation_country",
            "affiliation_city",
            "affiliation_name",
        ],
        header: {
            "affiliation_country": "country",
            "affiliation_city": "city",
            "affiliation_name": "affiliation",
        },
        multiple: false,
        sort: "family",
        layout: "fixed",
        format: {
            orcid: orcid =>
            htl.html`<a href=https://orcid.org/${orcid} target=_blank>${orcid}</a>`
        },
    }
)

collaborators = Array(38) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]

list_of_collaborators = Array(23) ["Kübra Kaygisiz", "Lena Rauch-Wirth", "Xiaoqing Yu", "Yuki Nagata", "Tristan Bereau", "Jan L. Münch", "Christopher Synatschke", "Tanja Weil", "Thomas A. Vilgis", "Jilles Vreeken", "Luca M Ghiringhelli", "Alessia Centi", "Sapun Parekh", "Corinna Schilling", "Thomas Mack", "Selene Lickfett", "Stefanie Sieste", "Francesco S. Ruggeri", "Tomas Sneideris", "Ramin Naraghi", …]

dict_of_collaborators = Object {Kübra Kaygisiz: Object, Lena Rauch-Wirth: Object, Xiaoqing Yu: Object, Yuki Nagata: Object, Tristan Bereau: Object, Jan L. Münch: Object, Christopher Synatschke: Object, Tanja Weil: Object, Thomas A. Vilgis: Object, Jilles Vreeken: Object, Luca M Ghiringhelli: Object, Alessia Centi: Object, Sapun Parekh: Object, Corinna Schilling: Object, Thomas Mack: Object, Selene Lickfett: Object, Stefanie Sieste: Object, Francesco S. Ruggeri: Object, Tomas Sneideris: Object, Ramin Naraghi: Object, …}

given	▴family	orcid	country	city	affiliation
Tristan	Bereau	0000-0001-9945-1271	DE	Heidelberg	Heidelberg University
Alessia	Centi	0000-0002-1883-9416
Luca M	Ghiringhelli
Kübra	Kaygisiz	0000-0003-0077-7867	US	Cambridge	Massachusetts Institute of Technology
Tuomas	Knowles	0000-0002-7879-0140	GB	Cambridge	University of Cambridge
Bernd	Knöll	0000-0001-7685-3796
Selene	Lickfett	0000-0002-3726-9551	DE	Dusseldorf	Universitätsklinikum Düsseldorf
Thomas	Mack				Institute of Inorganic Chemistry I Ulm University Albert‐Einstein‐Allee 11 89081 Ulm Germany
Jan L.	Münch	0000-0002-9177-6466
Yuki	Nagata
Ramin	Naraghi	0000-0003-3643-791X	DE	Koblenz	Bundeswehrzentralkrankenhaus Koblenz
Sapun	Parekh	0000-0001-8522-1854
Lena	Rauch-Wirth				Institute of Molecular Virology, Ulm University Medical Center, Meyerhofstraße 1, 89081 Ulm, Germany
Francesco S.	Ruggeri				Department of Chemistry University of Cambridge Cambridge CB2 1EW UK
Corinna	Schilling				Institute of Physiological Chemistry Ulm University Albert‐Einstein‐Allee 11 89081 Ulm Germany
Stefanie	Sieste				Institute of Inorganic Chemistry I Ulm University Albert‐Einstein‐Allee 11 89081 Ulm Germany
Daniela	Sinske				Institute of Physiological Chemistry Ulm University Albert‐Einstein‐Allee 11 89081 Ulm Germany
Tomas	Sneideris				Department of Chemistry University of Cambridge Cambridge CB2 1EW UK
Christopher	Synatschke	0000-0002-4259-6696
Thomas A.	Vilgis	0000-0003-2101-7410	DE	Mainz	Max Planck Institute for Polymer Research
Jilles	Vreeken	0000-0002-2310-2806	DE	Saarbrücken	CISPA Helmholtz Center for Information Security
Tanja	Weil	0000-0002-5906-7205	DE	Mainz	Max-Planck-Institut für Polymerforschung
Xiaoqing	Yu