Artificial neural network method for predicting HIV protease cleavage sites in protein

Knowledge of the polyprotein cleavage sites by HIV protease will refine our understanding of its specificity, and the information thus acquired will be useful for designing specific and efficient HIV protease inhibitors. The search for inhibitors of HIV protease will be greatly expedited if one can find and accurate, robust, and rapid method for predicting the cleavage sites in proteins by HIV protease. In this paper, Kohonen’s self-organization model, which uses typical artificial neural networks, is applied to predict the cleavability of oligopeptides by proteases with multiple and extended specificity subsites. We selected HIV-1 protease as the subject of study. We chose 299 oligopeptides for the training set, and another 63 oligopeptides for the test set. Because of its high rate of correct prediction (58/63=92.06%) and stronger fault-tolerant ability, the neural network method should be a useful technique for finding effective inhibitors of HIV protease, which is one of the targets in designing potential drugs against AIDS. The principle of the artificial neural network method can also be applied to analyzing the specificity of any multisubsite enzyme.     

Artificial neural network method for predicting HIV protease cleavage sites in protein

Knowledge of the polyprotein cleavage sites by HIV protease will refine our understanding of its specificity, and the information thus acquired will be useful for designing specific and efficient HIV protease inhibitors. The search for inhibitors of HIV protease will be greatly expedited if one can find and accurate, robust, and rapid method for predicting the cleavage sites in proteins by HIV protease. In this paper, Kohonen’s self-organization model, which uses typical artificial neural networks, is applied to predict the cleavability of oligopeptides by proteases with multiple and extended specificity subsites. We selected HIV-1 protease as the subject of study. We chose 299 oligopeptides for the training set, and another 63 oligopeptides for the test set. Because of its high rate of correct prediction (58/63=92.06%) and stronger fault-tolerant ability, the neural network method should be a useful technique for finding effective inhibitors of HIV protease, which is one of the targets in designing potential drugs against AIDS. The principle of the artificial neural network method can also be applied to analyzing the specificity of any multisubsite enzyme.     

A vector projection approach to predicting HIV protease cleavage sites in proteins

A vector projection method is proposed to predict the cleavability of oligopeptides by extended-specificity site proteases. For an enzyme with eight specificity subsites the substrate octapeptide can be uniquely expressed as a vector in an 8-dimensional space, whose eight bases correspond to the amino acids at the eight subsites, P₁, P_1′, P_2′, P_3′ and P_4′, respectively. The component of such a characteristic vector on each of the eight bases is defined as the frequency of an amino acid occurring at a given site. These frequencies were derived from a set of octapeptides known to be cleaved by HIV protease. The cleavability of an octapeptide can then be estimated from the projection of its characteristic vector on an idealized, optimally cleavable vector. The high ratio of correct prediction vs. total prediction for the data in both the training and the testing sets indicates that the new method is self-consistent and efficient. It provides a rapid and accurate algorithm for analyzing the specificity of any multisubsite enzyme for which there is no coupling between subsites. In particular, it is useful for predicting the cleavability of an oligopeptide by either HIV-1 or HIV-2 protease, and hence offers a supplementary means for finding effective inhibitors of HIV protease as potential drugs against AIDS. © Wiley-Liss, Inc.     

Predicting cleavability of peptide sequences by HIV protease via correlation-angle approach

In designing HIV protease inhibitors as potential drugs for AIDS therapy, knowledge about what peptide sequences in polyproteins are cleavable by HIV proteases is very useful. In this article, based on the formulation that any octapeptide can be uniquely expressed as a 160-dimensional vector and the principle that the similarity of any two such vectors is associated with their correlation angle, a new method is proposed to predict the cleavability of a peptide sequence by HIV-1 and HIV-2 proteases. The average predicted accuracy the new method for the 105 peptide sequences whose cleavability by HIV-1 protease is known is 96/105=9.14%, which is about 8% higher than that by the existing method for the same set of data. A considerably high rate of correct prediction was also obtained when the new method was used to predict the HIV-2 protease-cleaved sites in some proteins.     

Variable context Markov chains for HIV protease cleavage site prediction

Deciphering the knowledge of HIV protease specificity and developing computational tools for detecting its cleavage sites in protein polypeptide chain are very desirable for designing efficient and specific chemical inhibitors to prevent acquired immunodeficiency syndrome. In this study, we developed a generative model based on a generalization of variable order Markov chains (VOMC) for peptide sequences and adapted the model for prediction of their cleavability by certain proteases. The new method, called variable context Markov chains (VCMC), attempts to identify the context equivalence based on the evolutionary similarities between individual amino acids. It was applied for HIV-1 protease cleavage site prediction problem and shown to outperform existing methods in terms of prediction accuracy on a common dataset. In general, the method is a promising tool for prediction of cleavage sites of all proteases and encouraged to be used for any kind of peptide classification problem as well.     

Calcium-free calmodulin is a substrate of proteases from human immunodeficiency viruses 1 and 2

Calcium-free calmodulin-(CaM) is rapidly hydrolyzed by proteases from both human immunodeficiency viruses (HIV) 1 and 2. Kinetic analysis reveals a sequential order of cleavage by both proteases which initiates in regions of the molecule known from X-ray crystallographic analysis of Ca2+/CaM to be associated with calcium binding. Although HIV-1 and HIV-2 proteases hydrolyze two bonds in common, the initial site of cleavage required for subsequent events differs in each case. The first bond hydrolyzed by the HIV-1 protease is the Asn-Tyr linkage in the sequence, -N-I-D-G-D-G-Q-V-N-Y-E-E-, found in the fourth calcium binding loop. In contrast, it is an Ala-Ala bond in the third calcium loop, -D-K-D-G-N-G-Y-I-S-A-A-E-, that is first hydrolyzed by the HIV-2 enzyme, followed in short order by cleavage of the same Asn-Tyr linkage described above. Thereafter, both enzymes proceed to hydrolyze additional peptide bonds, some in common, some not. Considerable evidence exists that inhibitors are bound to the protease in an extended conformation and yet all of the cleavages we observed occur within, or at the beginning of helices in Ca2+/CaM, regions that also appear to be insufficiently exposed for protease binding. Molecular modeling studies indicate that CaM in solution must adopt a conformation in which the first cleavage site observed for each enzyme is unshielded and extended, and that subsequent cleavages involve further unwinding of helices.(ABSTRACT TRUNCATED AT 250 WORDS)     

Computational proteomics analysis of HIV-1 protease interactome

HIV-1 protease is a small homodimeric enzyme that ensures maturation of HIV virions by cleaving the viral precursor Gag and Gag-Pol polyproteins into structural and functional elements. The cleavage sites in the viral polyproteins share neither sequence homology nor binding motif and the specificity of the HIV-1 protease is therefore only partially understood. Using an extensive data set collected from 16 years of HIV proteome research we have here created a general and predictive rule-based model for HIV-1 protease specificity based on rough sets. We demonstrate that HIV-1 protease specificity is much more complex than previously anticipated, which cannot be defined based solely on the amino acids at the substrate's scissile bond or by any other single substrate amino acid position only. Our results show that the combination of at least three particular amino acids is needed in the substrate for a cleavage event to occur. Only by combining and analyzing massive amounts of HIV proteome data it was possible to discover these novel and general patterns of physico-chemical substrate cleavage determinants. Our study is an example how computational biology methods can advance the understanding of the viral interactomes.     

Narrow substrate specificity and sensitivity toward ligand-binding site mutations of human T-cell Leukemia virus type 1 protease

Human T-cell leukemia virus type 1 (HTLV-1) is associated with a number of human diseases; therefore, its protease is a potential target for chemotherapy. To compare the specificity of HTLV-1 protease with that of human immunodeficiency virus type 1 (HIV-1) protease, oligopeptides representing naturally occurring cleavage sites in various retroviruses were tested. The number of hydrolyzed peptides as well as the specificity constants suggested a substantially broader specificity of the HIV protease. Amino acid residues of HTLV-1 protease substrate-binding sites were replaced by equivalent ones of HIV-1 protease. Most of the single and multiple mutants had altered specificity and a dramatically reduced folding and catalytic capability, suggesting that mutations are not well tolerated in HTLV-1 protease. The catalytically most efficient mutant was that with the flap residues of HIV-1 protease. The inhibition profile of the mutants was also determined for five inhibitors used in clinical practice and inhibitor analogs of HTLV-1 cleavage sites. Except for indinavir, the HIV-1 protease inhibitors did not inhibit wild type and most of the mutant HTLV-1 proteases. The wild type HTLV-1 protease was inhibited by the reduced peptide bond-containing substrate analogs, whereas the mutants showed various degrees of weakened binding capability. Most interesting, the enzyme with HIV-1-like residues in the flap region was the most sensitive to the HIV-1 protease inhibitors and least sensitive to the HTLV-1 protease inhibitors, indicating that the flap plays an important role in defining the specificity differences of retroviral proteases.     

Molecular basis for the relative substrate specificity of human immunodeficiency virus type 1 and feline immunodeficiency virus proteases

We have used a random hexamer phage library to delineate similarities and differences between the substrate specificities of human immunodeficiency virus type 1 (HIV-1) and feline immunodeficiency virus (FIV) proteases (PRs). Peptide sequences were identified that were specifically cleaved by each protease, as well as sequences cleaved equally well by both enzymes. Based on amino acid distinctions within the P3-P3' region of substrates that appeared to correlate with these cleavage specificities, we prepared a series of synthetic peptides within the framework of a peptide sequence cleaved with essentially the same efficiency by both HIV-1 and FIV PRs, Ac-KSGVF/VVNGLVK-NH(2) (arrow denotes cleavage site). We used the resultant peptide set to assess the influence of specific amino acid substitutions on the cleavage characteristics of the two proteases. The findings show that when Asn is substituted for Val at the P2 position, HIV-1 PR cleaves the substrate at a much greater rate than does FIV PR. Likewise, Glu or Gln substituted for Val at the P2' position also yields peptides specifically susceptible to HIV-1 PR. In contrast, when Ser is substituted for Val at P1', FIV PR cleaves the substrate at a much higher rate than does HIV-1 PR. In addition, Asn or Gln at the P1 position, in combination with an appropriate P3 amino acid, Arg, also strongly favors cleavage by FIV PR over HIV PR. Structural analysis identified several protease residues likely to dictate the observed specificity differences. Interestingly, HIV PR Asp30 (Ile-35 in FIV PR), which influences specificity at the S2 and S2' subsites, and HIV-1 PR Pro-81 and Val-82 (Ile-98 and Gln-99 in FIV PR), which influence specificity at the S1 and S1' subsites, are residues which are often involved in development of drug resistance in HIV-1 protease. The peptide substrate KSGVF/VVNGK, cleaved by both PRs, was used as a template for the design of a reduced amide inhibitor, Ac-GSGVF Psi(CH(2)NH)VVNGL-NH(2.) This compound inhibited both FIV and HIV-1 PRs with approximately equal efficiency. These findings establish a molecular basis for distinctions in substrate specificity between human and feline lentivirus PRs and offer a framework for development of efficient broad-based inhibitors.     

An immunoenzymatic solid-phase assay for quantitative determination of HIV-1 protease activity

A novel immunoenzymatic procedure for the quantitative determination of HIV protease activity is provided. An N-terminal biotinylated peptide (DU1) that comprises an HIV-1 protease (HIV-PR) cleavage sequence was bound to streptavidin-coated microtiter plates. The bound peptide can be quantified by an immunoenzymatic procedure (enzyme-linked immunosorbent assay, ELISA) that includes a monoclonal antibody (Mab 332) against the peptide (DU1) C-terminal. The incubation of the bound peptide with HIV-PR in solution resulted in a signal decrement, as the peptide was hydrolyzed and the released C-terminal segment washed away. An equation that relates the amount of added enzyme to the kinetics of the reaction was written in order to describe this heterogeneous enzyme-quasi-saturable system. This equation allows quantitative determination of protease activity, a feature widely underrated in previous similar assays. The assay also allows evaluation of the inhibitory activity of HIV-PR inhibitors. Due to the intrinsic advantages of the ELISA format, this method could be used in high-throughput screening of HIV protease inhibitors. The assay can be extended to other proteolytic enzymes.     

Synthetic HIV-2 protease cleaves the GAG precursor of HIV-1 with the same specificity as HIV-1 protease

A 99-amino acid protein having the deduced sequence of the protease from human immunodeficiency virus type 2 (HIV-2) was synthesized by the solid phase method and tested for specificity. The folded peptide catalyzes specific processing of a recombinant 43-kDa GAG precursor protein (F-16) of HIV-1. Although the protease of HIV-2 shares only 48% amino acid identity with that of HIV-1, the HIV-2 enzyme exhibits the same specificity toward the HIV-1 GAG precursor. Fragments of 34, 32, 24, 10, and 9 kDa were generated from F-16 GAG incubated with the protease. N-terminal amino acid sequence analysis of proteolytic fragments indicate that cleavage sites recognized by HIV-2 protease are identical to those of HIV-1 protease. The verified cleavage sites in F-16 GAG appear to be processed independently, as indicated by the formation of the intermediate fragments P32 and P34 in nearly equal ratios. The site nearest the amino terminus is quite conserved between the two viral GAG proteins (...VSQNY-PIVQN...in HIV-1,...KGGNY-PVQHV...in HIV-2). In contrast, the putative second site (...IPFAA-AQQKG...) of HIV-2 GAG shares minimal sequence identity with site 2 of HIV-1 GAG (...SATIM-MQRGN...). These sequence variations in the substrates suggest higher order structural features that may influence recognition by the proteases. Pepstatin A inhibits HIV-2 protease, whereas 1,10-phenanthroline and phenylmethylsulfonylfluoride do not; these results are in agreement with the finding that proteases of HIV and other retroviruses are aspartyl proteases.     

Predicting human immunodeficiency virus protease cleavage sites in nonlinear projection space

HIV-1 protease has a broad and complex substrate specificity. The discovery of an accurate, robust, and rapid method for predicting the cleavage sites in proteins by HIV protease would greatly expedite the search for inhibitors of HIV protease. During the last two decades, various methods have been developed to explore the specificity of HIV protease cleavage activity. However, because little advancement has been made in the understanding of HIV-1 protease cleavage site specificity, not much progress has been reported in either extracting effective methods or maintaining high prediction accuracy. In this article, a theoretical framework is developed, based on the kernel method for dimensionality reduction and prediction for HIV-1 protease cleavage site specificity. A nonlinear dimensionality reduction kernel method, based on manifold learning, is proposed to reduce the high dimensions of protease specificity. A support vector machine is applied to predict the protease cleavage. Superior performance in comparison to that previously published in literature is obtained using numerical simulations showing that the basic specificities of the HIV-1 protease are maintained in reduction feature space, and by combining the nonlinear dimensionality reduction algorithm with a support vector machine classifier.     

Purification of HIV-1 wild-type protease and characterization of proteolytically inactive HIV-1 protease mutants by pepstatin A affinity chromatography

Recombinant wild-type protease of human immunodeficiency virus, type [(HIV-1) expressed in E. coli was purified by pepstatin A affinity chromatography. An 88-fold purification was achieved giving a protease preparation with a specific enzymatic activity of approximately 3700 pmol/min/μg. Two proteolytically inactive HIV-1 mutant proteases (Arg-87 → Lys; Asn-88 → Glu) were found to bind to pepstatin A agarose, and they were purified as the wild-type protease. A third mutant protease (Arg-87 → Glu) was apparently unable to bind to pepstatin A under similar conditions. Binding to pepstatin A indicates the binding ability of the substrate binding site and the ability to form dimers. These features may be used to purify and to characterize other mutated HIV-1 proteases.     

Ligand modifications to reduce the relative resistance of multi-drug resistant HIV-1 protease

Proper proteolytic processing of the HIV-1 Gag/Pol polyprotein is required for HIV infection and viral replication. This feature has made HIV-1 protease an attractive target for antiretroviral drug design for the treatment of HIV-1 infected patients. To examine the role of the P1 and P1′positions of the substrate in inhibitory efficacy of multi-drug resistant HIV-1 protease 769 (MDR 769), we performed a series of structure–function studies. Using the original CA/p2 cleavage site sequence, we generated heptapeptides containing one reduced peptide bond with an L to F and A to F double mutation at P1 and P1′ (F-r-F), and an A to F at P1′ (L-r-F) resulting in P1/P1′ modified ligands. Here, we present an analysis of co-crystal structures of CA/p2 F-r-F, and CA/p2 L-r-F in complex with MDR 769. To examine conformational changes in the complex structure, molecular dynamic (MD) simulations were performed with MDR769–ligand complexes. MD trajectories show the isobutyl group of both the lopinavir analog and the CA/p2 L-r-F substrate cause a conformational change of in the active site of MDR 769. IC₅₀ measurements suggest the non identical P1/P1′ ligands (CA/p2 L-r-F and lopinavir analog) are more effective against MDR proteases as opposed to identical P1/P1′ligands. Our results suggest that a non identical P1/P1′composition may be more favorable for the inhibition of MDR 769 as they induce conformational changes in the active site of the enzyme resulting in disruption of the two-fold symmetry of the protease, thus, stabilizing the inhibitor in the active site.     

Amino acid preferences for a critical substrate binding subsite of retroviral proteases in type 1 cleavage sites

The specificities of the proteases of 11 retroviruses representing each of the seven genera of the family Retroviridae were studied using a series of oligopeptides with amino acid substitutions in the P2 position of a naturally occurring type 1 cleavage site (Val-Ser-Gln-Asn-Tyr Pro-Ile-Val-Gln; the arrow indicates the site of cleavage) in human immunodeficiency virus type 1 (HIV-1). This position was previously found to be one of the most critical in determining the substrate specificity differences of retroviral proteases. Specificities at this position were compared for HIV-1, HIV-2, equine infectious anemia virus, avian myeloblastosis virus, Mason-Pfizer monkey virus, mouse mammary tumor virus, Moloney murine leukemia virus, human T-cell leukemia virus type 1, bovine leukemia virus, human foamy virus, and walleye dermal sarcoma virus proteases. Three types of P2 preferences were observed: a subgroup of proteases preferred small hydrophobic side chains (Ala and Cys), and another subgroup preferred large hydrophobic residues (Ile and Leu), while the protease of HIV-1 preferred an Asn residue. The specificity distinctions among the proteases correlated well with the phylogenetic tree of retroviruses prepared solely based on the protease sequences. Molecular models for all of the proteases studied were built, and they were used to interpret the results. While size complementarities appear to be the main specificity-determining features of the S2 subsite of retroviral proteases, electrostatic contributions may play a role only in the case of HIV proteases. In most cases the P2 residues of naturally occurring type 1 cleavage site sequences of the studied proteases agreed well with the observed P2 preferences.     

The dimer interfaces of protease and extra-protease domains influence the activation of protease and the specificity of GagPol cleavage

Activation of the human immunodeficiency virus type 1 (HIV-1) protease is an essential step in viral replication. As is the case for all retroviral proteases, enzyme activation requires the formation of protease homodimers. However, little is known about the mechanisms by which retroviral proteases become active within their precursors. Using an in vitro expression system, we have examined the determinants of activation efficiency and the order of cleavage site processing for the protease of HIV-1 within the full-length GagPol precursor. Following activation, initial cleavage occurs between the viral p2 and nucleocapsid proteins. This is followed by cleavage of a novel site located in the transframe domain. Mutational analysis of the dimer interface of the protease produced differential effects on activation and specificity. A subset of mutations produced enhanced cleavage at the amino terminus of the protease, suggesting that, in the wild-type precursor, cleavages that liberate the protease are a relatively late event. Replacement of the proline residue at position 1 of the protease dimer interface resulted in altered cleavage of distal sites and suggests that this residue functions as a cis-directed specificity determinant. In summary, our studies indicate that interactions within the protease dimer interface help determine the order of precursor cleavage and contribute to the formation of extended-protease intermediates. Assembly domains within GagPol outside the protease domain also influence enzyme activation.     

Specificity and inhibition of proteases from human immunodeficiency viruses 1 and 2

Highly purified, recombinant preparations of the virally encoded proteases from human immunodeficiency viruses (HIV) 1 and 2 have been compared relative to 1) their specificities toward non-viral protein and synthetic peptide substrates, and 2) their inhibition by several P1-P1' pseudodipeptidyl-modified substrate analogs. Hydrolysis of the Leu-Leu and Leu-Ala bonds in the Pseudomonas exotoxin derivative, Lys-PE40, is qualitatively the same for HIV-2 protease as published earlier for the HIV-1 enzyme (Tomasselli, A. G., Hui, J. O., Sawyer, T. K., Staples, D. J., FitzGerald, D. J., Chaudhary, V. K., Pastan, I., and Heinrikson, R. L. (1990) J. Biol. Chem. 265, 408-413). However, the rates of cleavage at these two sites are reversed for the HIV-2 protease which prefers the Leu-Ala bond. The kinetics of hydrolysis of this protein substrate by both enzymes are mirrored by those obtained from cleavage of model peptides. Hydrolysis by the two proteases of other synthetic peptides modeled after processing sites in HIV-1 and HIV-2 gag polyproteins and selected analogs thereof demonstrated differences, as well as similarities, in selectivity. For example, while the two proteases were nearly identical in their rates of cleavage of the Tyr-Pro bond in the HIV-1 gag fragment, Val-Ser-Gln-Asn-Tyr-Pro-Ile-Val, the HIV-1 protease showed a 64-fold enhancement over the HIV-2 enzyme in hydrolysis of a Tyr-Val bond in the same template. Accordingly, the HIV-2 protease appears to have a different specificity than the HIV-1 enzyme; it is better able to hydrolyze substrates with small amino acids in P1 and P1', but is variable in its rate of hydrolysis of peptides with bulky substituents in these positions. In addition to these comparisons of the two proteases with respect to substrate specificity, we present inhibitor structure-activity data for the HIV-2 protease. Relative to P1-P1' statine or Phe psi [CH2N]Pro-modified pseudopeptidyl inhibitors, compounds having Xaa psi[CH(OH)CH2]Yaa inserts were found to show significantly higher affinities to both enzymes, generally binding from 10 to 100 times stronger to HIV-1 protease than to the HIV-2 enzyme. Molecular modeling comparisons based upon the sequence homology of the two enzymes and x-ray crystal structures of HIV-1 protease suggest that most of the nonconservative amino acid replacements occur in regions well outside the catalytic cleft, while only subtle structural differences exist within the active site.(ABSTRACT TRUNCATED AT 400 WORDS)     

HIV Gag CAP2NC噬菌体蛋白酶切割模型的构建

HIV蛋白酶(protease,PR)耐药突变的大量出现严重地影响了AIDS的治疗.应用突变PR对展示HIVPR靶序列随机文库的噬菌体进行切割筛选,可获得突变PR的敏感噬菌体,该噬菌体可用于针对HIVPR耐药突变株的蛋白酶抑制剂(protease inhibitor,PI)新药筛选.为了探索这一可能性,将包含HIVPR靶位点P2/NC序列的Gag蛋白CAP2NC片段展示于噬菌体表面,并在该片段的N端连接一可与人免疫球蛋白分子特异结合的固相化标签序列LD3,将该噬菌体固定于人免疫球蛋白包被的酶标板上,用HIVSF2PR进行切割,用抗M13噬菌体酶标抗体ELISA法检测未被切割的剩余噬菌体以反映切割效果.结果表明,所构建的噬菌体能被HIVPR有效切割,最大切割效应可达80%以上,其ELISA检测值明显下降,并且该切割效应与HIVPR呈明显的量效关系,能被PI类药物Indinavir(IDV)特异抑制.首次成功构建了展示HIV Gag CAP2NC片段的噬菌体蛋白酶切割模型,不仅可为研究HIVPR的耐药性变异及其靶序列的适应性变异提供一新的研究平台,同时也为构建一种全新的PI类药物,尤其是针对耐药的PI类药物大规模体外噬菌体筛选模型打下基础.     

HIV-1 Protease Uses Bi-Specific S2/S2′ Subsites to Optimize Cleavage of Two Classes of Target Sites

Retroviral proteases (PRs) have a unique specificity that allows cleavage of sites with or without a P1′ proline. A P1′ proline is required at the MA/CA cleavage site due to its role in a post-cleavage conformational change in the capsid protein. However, the HIV-1 PR prefers to have large hydrophobic amino acids flanking the scissile bond, suggesting that PR recognizes two different classes of substrate sequences. We analyzed the cleavage rate of over 150 combinations of six different HIV-1 cleavage sites to explore rate determinants of cleavage. We found that cleavage rates are strongly influenced by the two amino acids flanking the amino acids at the scissile bond (P2–P1/P1′–P2′), with two complementary sets of rules. When P1′ is proline, the P2 side chain interacts with a polar region in the S2 subsite of the PR, while the P2′ amino acid interacts with a hydrophobic region of the S2′ subsite. When P1′ is not proline, the orientations of the P2 and P2′ side chains with respect to the scissile bond are reversed; P2 residues interact with a hydrophobic face of the S2 subsite, while the P2′ amino acid usually engages hydrophilic amino acids in the S2′ subsite. These results reveal that the HIV-1 PR has evolved bi-functional S2 and S2′ subsites to accommodate the steric effects imposed by a P1′ proline on the orientation of P2 and P2′ substrate side chains. These results also suggest a new strategy for inhibitor design to engage the multiple specificities in these subsites.