Skip to content

Primary Primary
  • Home
  • Research
    • Core A
    • Core B
    • Core C
    • NIDA-Funded Research Projects (FRPs)
    • Pilot/Feasible Projects (P/FP)
  • Technology
  • Outreach
    • Scientific Meetings
      • Monthly Scientific Meeting
      • 2019 P30 CDAR Annual Meeting
      • 2018 P30 CDAR Annual Meeting
      • 2017 P30 CDAR Annual Meeting
      • 2016 P30 CDAR Annual Meeting
      • 2015 P30 CDAR Annual Meeting
    • Seminars & Presentations
    • Fellows Training Workshop
    • Journal Clubs
    • Outreach to Students
    • Pilot/Feasibility Program
  • Publications
    • Published Work
    • Manuscript Submitted
  • News
  • People
    • Administrative Core
    • Leadership
    • External Advisory Board
    • Scientific Steering Committee (SSC)
  • PANDA
  • About Us
    • How to Acknowledge Us
    • Contact Us
Expand Search Form

Publications in Year 2017

  • Chen S, Feng Z, Wang Y, Ma S, Hu Z, Yang P, Chai Y, Xie, X.-Q*. Discovery of Novel Ligands for TNF-α and TNF Receptor-1 through Structure-Based Virtual Screening and Biological Assay. J Chem Inf Model. 2017 Apr 19. PMID: 28422491
  • Bian Y, Feng Z, Yang P, Xie, X.-Q*. Integrated In Silico Fragment-Based Drug Design: Case Study with Allosteric Modulators on Metabotropic Glutamate Receptor 5. AAPS J. 2017 Jul;19(4):1235-1248.
  • Cha-Molstad H, Yu JE, Feng Z, Lee SH, Kim JG, Yang P, Han B, Sung KW, Yoo YD, Hwang J, McGuire T, Shim SM, Song HD, Ganipisetti S, Wang N, Jang JM, Lee MJ, Kim SJ, Lee KH, Hong JT, Ciechanover A, Mook-Jung I, Kim KP, Xie, X.-Q*, Kwon YT*, Kim BY*. p62/SQSTM1/Sequestosome-1 is an N-recognin of the N-end rule pathway which modulates autophagosome biogenesis. Nature Communications 8, Article number: 102 (2017).
  • Wang N, Wang L, Xie X.-Q. ProSelection: A Novel Algorithm to Select Proper Protein Structure Subsets for in Silico Target Identification and Drug Discovery Research. J Chem Inf Model. 2017 Nov 27;57(11):2686-2698. doi: 10.1021/acs.jcim.7b00277. Epub 2017 Oct 26. PMID:29016123
  • Sauerwald N, Zhang S, Kingsford C, Bahar I. Chromosomal dynamics predicted by an elastic network model explains genome-wide accessibility and long-range couplings. Nucleic acids research. 2017 Apr 20;45(7):3663-73. PubMed PMID: 28334818; PubMed Central PMCID: PMC5397156.
  • Cheng MH*, Torres-Salazar D*, Gonzalez-Suarez AD, Amara SG, Bahar I. (2017) Substrate transport and anion permeation proceed through distinct pathways in glutamate transporters.eLife 6: e25850.PMID: 28569666. (* equally contributed)
  • Cheng MH, Garcia-Olivares J, Wasserman S, DiPietro J, Bahar I. (2017) Allosteric modulation of human dopamine transporter activity under conditions promoting its dimerization.  J. Biol. Chem; in press.
  • Lee J. Y., Feng Z., Xie X.-Q. , and Bahar I. (2017) Allosteric modulation of intact γ-secretase collective dynamics. Biophys. J. in revision.
  • Li H, Sharma N, General IJ, Schreiber G, Bahar I. (2017) Dynamic Modulation of Binding Affinity as a Mechanism for Regulating Interferon Signaling. J Mol Biol; in press PMID:28648616.
  • Li H, Chang Y-Y, Lee JY, Bahar I and Yang L-W. (2017) DynOmics: Dynamics of Structural Proteome and Beyond. Nucleic Acids Res. 45: W374-W380; PMID: 28472330.
  • Ma S, Cheng MH, Guthrie DA, Newman AH, Bahar I, Sorkin A. (2017) Targeting of dopamine transporter to filopodia requires an outward-facing conformation of the transporter. Sci Rep. 7: 5399; PMID:28710426.
  • Cheng, MH*, Garcia-Olivares, J*, Wasserman, S, DiPietro, J & Bahar, I. (2017) Allosteric modulation of human dopamine transporter activity under conditions promoting its dimerization. J. Biol. Chem 292:12471-12482; PMID: 28584050.
  • Gur M, Cheng MH, Zomot E, Bahar I. (2017) Effect of dimerization on the dynamics of neurotransmitter: sodium symporters. J. Phys. Chem. B 121: 3657–3666. PMID: 28118712.
  • Wang H, Aragam B, Xing EP. Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association Studies. KDD : proceedings. International Conference on Knowledge Discovery & Data Mining. bioRxiv. 2017 Jan 1:228106.
  • Xu, X. Chai, H. Muthakana, X. Liang, G. Yang, T. Zeev-Ben-Mordehai and E. P. Xing, “Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.” The Twenty-fifth International Conference on Intelligence Systems for Molecular Biology (ISMB 2017). Bioinformatics (2017) in press.
  • Zhou Z, Luo A, Shrivastava I, He M, Huang Y, Bahar I, Liu Z, Wan Y. Regulation of XIAP turnover reveals a role for USP11 in promotion of tumorigenesis. EBioMedicine. 2017 Feb 1;15:48-61.PubMed PMID: 28040451; PubMed Central PMCID: PMC5233825.
  • Xie X-Q, Wang L, Wang J, Xie Z, Yang P, Ouyang Q. Neuropathology of Drug Addictions and Substance Misuse. San Diego, CA. Elsevier Inc.;. Chapter 19, In silico chemogenomics knowledgebase and computational system neuropharmacology approach for cannabinoid drug research.
  • Ponzoni L, Zhang S, Cheng MH, Bahar I. Shared Dynamics of LeuT Superfamily Members and Allosteric Differentiation by Structural Irregularities and Multimerization. Phil Trans R Soc B. 2018;373. doi: 10.1098/rstb.2017.0177. PubMed PMID: 29735731; PMCID: PMC5941172.
  • Al-Shedivat M, Wilson AG, Saatchi Y, Hu Z, Xing EP. Learning Scalable Deep Kernels with Recurrent Structure. Journal of Machine Learning Research. 2017;18:1-37. PMID: 30662374 PMCID: PMC6334642
    Wenzel SE, Tyurina YY, Zhao J, Croix CMS, Dar HH, Mao G, Tyurin VA, Anthonymuthu TS, Kapralov AA, Amoscato AA, Mikulska-Ruminska K, Shrivastava IH, Kenny EM, Yang Q, Rosenbaum JC, Sparvero LJ, Emlet DR, Wen X, Minami Y, Qu F, Watkins SC, Holman TR, VanDemark AP, Kellum JA, Bahar I, Bayir H, Kagan VE. PEBP1 Wardens Ferroptosis by Enabling Lipoxygenase Generation of Lipid Death Signals. Cell. 2017;171(3):628-41. e26; PMCID: PMC5683852
    Neiswanger W, Xing EP. Post-Inference Prior Swapping. The 34th International Conference on Machine Learning (ICML 2017); Sydney, Australia2017.
  • Qin L, Zhang Z, Zhao H, Hu Z, Xing EP. Adversarial Connective-Exploiting Networks for Implicit Discourse Relation Classification. The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017); Vancouver, Canada.2017.
  • Sachan M, Dubey A, Xing EP. From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017); Copenhagen, Denmark2017.
  • Chang X, Yu Y, Yang Y, Xing EP. Semantic Pooling for Complex Event Analysis in Untrimmed Videos. IEEE Trans Pattern Anal Mach Intell. 2017;39(8):1617-32. Epub 2017/01/24. doi: 10.1109/tpami.2016.2608901. PubMed PMID: 28113653; PMCID: PMC5570670.
  • Xie P, Deng Y, Zhou Y, Kumar A, Yu Y, Zou J, Xing EP. Analyzable Diversity-Promoting Latent Space Models.  The 34th International Conference on Machine Learning (ICML 2017); Sydney, Australia2017
  • Xie P, Singh A, Xing EP. Uncorrelation and Evenness: A New Diversity-Promoting Regularizer. The 34th International Conference on Machine Learning (ICML 2017); Sydney, Australia2017.
    Xie P, Xing EP. A Constituent-Centric Neural Architecture for Reading Comprehension. The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017); Vancouver, Canada 2017.
  • Yen IE, Huang X, Dai W, Ravikumar P, Dhillon I, Xing EP. Pd-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification. The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2017); Halifax, Nova Scotia, Canada 2017.
  • Zhang H, Zheng Z, Dai W, Q. H, Xing EP. Poseidon: An Efficient Communication Interface for Distributed Deep Learning on GPU Clusters. USENIX Annual Technical Conference; Santa Clara, CA, USA2017.
  • Zhang K, Liu C, Zhang J, Xiong H, Xing EP, Ye J. Finding Structures of Large Matrices through Compression. The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2017); Halifax, Nova Scotia, Canada2017.
  • Zhou Y, Yuan K, Yu Y, Ni X, Xie P, Xing EP, Xu S. Inference of Multiple-Wave Population Admixture by Modeling Decay of Linkage Disequilibrium with Polynomial Functions. Heredity (Edinb). 2017;118(5):503-10. Epub 2017/02/16. doi: 10.1038/hdy.2017.5. PubMed PMID: 28198814; PMCID: PMC5564381
  • Lee S, Wang H, Xing EP. Backward genotype-transcript-phenotype association mapping. Methods. 2017 Oct 1;129:18-23. PMID: 28917724 DOI: 10.1016/j.ymeth.2017.09.004
  • Xie P, Deng Y, Zhou Y, Kumar A, Yu Y, Zou J, Xing EP. Learning latent space models with angular constraints. InProceedings of the 34th International Conference on Machine Learning-Volume 70 2017 Aug 6 (pp. 3799-3810). JMLR. org
  • Xie P, Salakhutdinov R, Mou L, Xing EP. Deep determinantal point process for large-scale multi-label classification. InProceedings of the IEEE International Conference on Computer Vision 2017 (pp. 473-482).
  • Xie P, Poczos B, Xing EP. Near-Orthogonality Regularization in Kernel Methods. InUAI 2017 (Vol. 3, p. 6).
  • Lee S, Görnitz N, Xing EP, Heckerman D, Lippert C. Ensembles of lasso screening rules. IEEE transactions on pattern analysis and machine intelligence. 2017 Nov 24;40(12):2841-52. PMID: 29989981

Latest News

  • Congratulations to Changrui Xing for obtaining his Ph.D. degree
  • PI Ivet Bahar has been elected to the National Academy of Sciences USA in April 2020
  • The CDAR 2020 February Monthly Meeting
  • Dr. Ivet Bahar to give 2019 Laureate Lecture on 12/3

Events

January 2026
S M T W T F S
 123
45678910
11121314151617
18192021222324
25262728293031
« Aug    

Collaborate with CDAR

Propose a Collaboration

Research Highlights

distancecell

Platform for Abused-Drugs and Neurological Diseases Association (PANDA)

PANDA is a portal for accessing the computational resources developed, disseminated and maintained by the CDAR Center, which comprises a significant expansion of the drug abuse research tools, as well as information toward establishing the link between molecular, cellular, and systemic aspects of drug abuse and associated disorders. Read more

 

 

distancecell

Cloud computing drug-abuse and neurobiological diseases domain-specific databases

These platforms are integrated with online structure search function and data analysis tools to facilitate data-sharing and information exchange among scientific research communities for target/off-target identification neurobiological drug abuse research. Read more

 

 

distancecell

Monoamine transporters: structure, intrinsic dynamics and allosteric regulation

Mary Cheng and Ivet Bahar published an invited review article in Nature Structural & Molecular Biology, addressing recent progress in the elucidation of the structural dynamics of monoamine transporters and their conformational landscape and transitions, as well as allosteric regulation mechanisms. Read more

 

distancecell

Targeting of dopamine transporter to filopodia requires an outward-facing conformation of the transporter

Using quantitative live-cell fluorescence microscopy (Sorkin lab; U PITT) and molecular modeling (Bahar lab), they investigated the effects of the DAT inhibitor cocaine and its fluorescent analog JHC1-64 on the plasma membrane distribution of wild-type DAT and two DAT mutants. 

 

 

distancecell

A Time-Varying Group Sparse Additive Model for GWAS of Dynamic Complex Traits

Core C proposes a new approach, Linear Regression with Validated Association (LRVA) that discovers variants by utilizing the knowledge of known associations, making the variants with weaker signals easier to be identified. They have applied their method to Drug Abuse Disorders data set collected from CEDAR provided to them by Dr. Michael Vanyukov (PI of a FRP), and discovered nearly two dozen novel SNPs associated with drug abuse disorders. Literature search suggests that many of these SNPs reside in genes previously known to be involved with substance abuse. Read more

 

CDAR © 2026 Home Research Core A Core B Core C NIDA-Funded Research Projects (FRPs) Pilot/Feasible Projects (P/FP) Technology Outreach Scientific Meetings Monthly Scientific Meeting 2019 P30 CDAR Annual Meeting 2018 P30 CDAR Annual Meeting 2017 P30 CDAR Annual Meeting 2016 P30 CDAR Annual Meeting 2015 P30 CDAR Annual Meeting Seminars & Presentations Fellows Training Workshop Journal Clubs Outreach to Students Pilot/Feasibility Program Publications Published Work Manuscript Submitted News People Administrative Core Leadership External Advisory Board Scientific Steering Committee (SSC) PANDA About Us How to Acknowledge Us Contact Us