Author

Naing Lin Shan

Yale Cancer CenterORCID 0000-0002-8572-1311Unclaimed ORCID profile · follow to get notified of new preprints

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Ho‐Joon LeeiD· 1 shared Jiawei DaiiD· 1 shared Lajos PusztaiiD· 1 shared Lalit K. Golani· 1 shared Marco MarianiiD· 1 shared Qin YaniD· 1 shared Yueyue WangiD· 1 shared Yulia V. SurovtsevaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Ho‐Joon LeeORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 3, 2026

Distillation enables scalable high-fidelity virtual screening across ultra-large chemical libraries

Jiawei Dai, Yueyue Wang, Naing Lin Shan…·Lajos Pusztai

This paper introduces FastBindRank, a distillation-based framework for high-fidelity virtual screening of large chemical libraries, achieving higher hit rates and discovery yields than traditional methods.

DOI 10.64898/2026.06.29.735361

deep learningstatistical model

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