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Imran S. Haque
Researcher at Stanford University
Publications - 82
Citations - 4716
Imran S. Haque is an academic researcher from Stanford University. The author has contributed to research in topics: Population & Mutation (genetic algorithm). The author has an hindex of 25, co-authored 79 publications receiving 3280 citations. Previous affiliations of Imran S. Haque include California Institute of Technology.
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Current Status of the AMOEBA Polarizable Force Field
Jay W. Ponder,Chuanjie Wu,Pengyu Ren,Vijay S. Pande,John D. Chodera,Michael J. Schnieders,Imran S. Haque,David L. Mobley,Daniel S. Lambrecht,Robert A. DiStasio,Martin Head-Gordon,Gary N. I. Clark,Margaret E. Johnson,Teresa Head-Gordon +13 more
TL;DR: It is shown that the AMOEBA force field is in fact a significant improvement over fixed charge models for small molecule structural and thermodynamic observables in particular, although further fine-tuning is necessary to describe solvation free energies of drug-like small molecules, dynamical properties away from ambient conditions, and possible improvements in aromatic interactions.
Journal ArticleDOI
Current and future perspectives of liquid biopsies in genomics-driven oncology.
TL;DR: The potential of liquid biopsies is highlighted by studies that show they can track the evolutionary dynamics and heterogeneity of tumours and can detect very early emergence of therapy resistance, residual disease and recurrence, but their analytical validity and clinical utility must be rigorously demonstrated before this potential can be realized.
Posted Content
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh,Shiori Sagawa,Henrik Marklund,Sang Michael Xie,Marvin Zhang,Akshay Balsubramani,Weihua Hu,Michihiro Yasunaga,Richard Lanas Phillips,Irena Gao,Tony Lee,Etienne David,Ian Stavness,Wei Guo,Berton A. Earnshaw,Imran S. Haque,Sara Beery,Jure Leskovec,Anshul Kundaje,Emma Pierson,Sergey Levine,Chelsea Finn,Percy Liang +22 more
TL;DR: WILDS is presented, a benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications, and is hoped to encourage the development of general-purpose methods that are anchored to real-world distribution shifts and that work well across different applications and problem settings.
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MSMBuilder2: Modeling Conformational Dynamics at the Picosecond to Millisecond Scale.
Kyle A. Beauchamp,Gregory R. Bowman,Thomas J. Lane,Lutz Maibaum,Imran S. Haque,Vijay S. Pande +5 more
TL;DR: An improved protocol for constructing Markov State Models from molecular dynamics simulations is described, which leads to significant increases in model accuracy, as assessed by the ability to recapitulate equilibrium and kinetic properties of reference systems.
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An empirical estimate of carrier frequencies for 400+ causal Mendelian variants: results from an ethnically diverse clinical sample of 23,453 individuals.
Gabriel A. Lazarin,Imran S. Haque,Shivani Nazareth,Kevin Iori,A. Scott Patterson,Jessica L. Jacobson,John R. Marshall,William K. Seltzer,Pasquale Patrizio,Eric A. Evans,Balaji Srinivasan +10 more
TL;DR: This study of a large, ethnically diverse clinical sample provides the most accurate measurements to date of carrier frequencies for hundreds of recessive alleles and provides support for a pan-ethnic screening paradigm that minimizes the use of “racial” categories by the physician, as recommended by recent guidelines.