Funded project2024
Machine learning approach for druggability prediction and prioritization of essential hypothetical genes in Plasmodium falciparum genome and virtual screening of Pathogen Box small molecule inhibitors
- Good Health and Well-being
- Empowered Indians
The record
- Type
- Funded project
- Date
- 1 July 2024
- School
- Reporting cycle
- 2024
- Nature
- Ongoing Research
- Sanctioned
- 1 July 2024
- Funding agency
- ANRF
- Sanction reference
- BP-4407
- Investigators
- 1
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.3 End the epidemics of AIDS, tuberculosis, malaria, neglected tropical diseases, hepatitis and water-borne diseases
National research foundation project using machine learning for druggability prediction in the malaria parasite genome and virtual screening of inhibitors.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-opus-5[1m], under kortex-input-v1+rubric@1.1.0#7bc5877481c9Input template kortex-input-v1; rubric 1.1.0. Each can change without the others, which is why the version is a composite.
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. National research foundation project using machine learning for druggability prediction in the malaria parasite genome and virtual screening of inhibitors.
- Produced by
- claude-opus-5[1m], under kortex-input-v1+rubric@1.1.0#7bc5877481c9Input template kortex-input-v1; rubric 1.1.0. Each can change without the others, which is why the version is a composite.
Records of this type were classified by individual judgment against the published rubric, over 1,101 activities. Each label above carries the rubric version it was produced under. How each classification is reached.
Evidence
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Provenance
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- Source rows resolved into this record
- 1
- Source records held
- 1
| Source system | Reference | Last read |
|---|---|---|
| KIIT PBAS reporting workbook, 2024 cycle | Project & Consultancy - 2024!51 |
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Citing this record
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KIIT Deemed to be University. “Machine learning approach for druggability prediction and prioritization of essential hypothetical genes in Plasmodium falciparum genome and virtual screening of Pathogen Box small molecule inhibitors”. Kortex. Last read 17 September 2026.